SlideShare a Scribd company logo
1 of 18
Introduction to Target Detection, Tracking and Sensor Data Fusion Huimin Chen University of New Orleans Department of Electrical Engineering New Orleans LA 70148 Tutorial Slides Made Based on YBS&LI’s Tracking Book
Information Extraction and Fusion ,[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Target Tracking Overview ,[object Object],[object Object],[object Object]
Target Motion Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sensor Measurement Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Measurement Origin Uncertainty ,[object Object],1-D example: detect a signal and estimate its location
Joint Target Detection and Parameter Estimation Technique ,[object Object],[object Object],[object Object],[object Object]
Finding Unknown Number of Targets Missile defense application:  to detect and estimate missile trajectories (2 targets here)
Joint Target Detection and Parameter Estimation Technique ,[object Object],[object Object],[object Object]
Tracking Maneuvering Targets in Clutter  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Tracking Maneuvering Targets in Clutter (Cont’d) The more models the better? Figure used with courtesy of Prof. Yaakov Bar-Shalom
Tracking Maneuvering Targets in Clutter (Cont’d) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Tracking Maneuvering Targets in Clutter (Cont’d) ,[object Object],[object Object]
Tracking Closely-Spaced Objects Sensor 1 Located at [0, 0] Sensor 2 Located at [180km, 80km] Tracking of Spawning Targets: Use  geometrically dispersed  sensors to  obtain better resolution
Tracking Closely-Spaced Objects ,[object Object],[object Object],[object Object],[object Object],[object Object]
Tracking with Multiple Sensors: Data Fusion Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

Nuzzer algorithm based Human Tracking and Security System for Device-Free Pas...
Nuzzer algorithm based Human Tracking and Security System for Device-Free Pas...Nuzzer algorithm based Human Tracking and Security System for Device-Free Pas...
Nuzzer algorithm based Human Tracking and Security System for Device-Free Pas...Eswar Publications
 
Pittcon06 Auto Chrom
Pittcon06 Auto ChromPittcon06 Auto Chrom
Pittcon06 Auto Chromniharaina
 
Network Traffic Anomaly Detection Through Bayes Net
Network Traffic Anomaly Detection Through Bayes NetNetwork Traffic Anomaly Detection Through Bayes Net
Network Traffic Anomaly Detection Through Bayes NetGyan Prakash
 
Intrusion Detection System Based on K-Star Classifier and Feature Set Reduction
Intrusion Detection System Based on K-Star Classifier and Feature Set ReductionIntrusion Detection System Based on K-Star Classifier and Feature Set Reduction
Intrusion Detection System Based on K-Star Classifier and Feature Set ReductionIOSR Journals
 
MTT Data Association
MTT Data AssociationMTT Data Association
MTT Data AssociationEngin Gul
 
Cooperative Spectrum Sensing Technique Based on Blind Detection Method
Cooperative Spectrum Sensing Technique Based on Blind Detection MethodCooperative Spectrum Sensing Technique Based on Blind Detection Method
Cooperative Spectrum Sensing Technique Based on Blind Detection MethodINFOGAIN PUBLICATION
 
A Fault Tolerant Approach to Enhances Wsn Lifetime in Star Topology
A Fault Tolerant Approach to Enhances Wsn Lifetime in Star TopologyA Fault Tolerant Approach to Enhances Wsn Lifetime in Star Topology
A Fault Tolerant Approach to Enhances Wsn Lifetime in Star TopologyIRJET Journal
 
VET4SBO Level 3 module 2 - unit 1 - v0.9 en
VET4SBO Level 3   module 2 - unit 1 - v0.9 enVET4SBO Level 3   module 2 - unit 1 - v0.9 en
VET4SBO Level 3 module 2 - unit 1 - v0.9 enKarel Van Isacker
 
Applications of Markov Decision Processes (MDPs) in the Internet of Things (I...
Applications of Markov Decision Processes (MDPs) in the Internet of Things (I...Applications of Markov Decision Processes (MDPs) in the Internet of Things (I...
Applications of Markov Decision Processes (MDPs) in the Internet of Things (I...mabualsh
 
IRJET- A Secured Method of Data Aggregation for Wireless Sensor Networks in t...
IRJET- A Secured Method of Data Aggregation for Wireless Sensor Networks in t...IRJET- A Secured Method of Data Aggregation for Wireless Sensor Networks in t...
IRJET- A Secured Method of Data Aggregation for Wireless Sensor Networks in t...IRJET Journal
 
M3AT: Monitoring Agents Assignment Model for the Data-Intensive Applications
M3AT: Monitoring Agents Assignment Model for the Data-Intensive ApplicationsM3AT: Monitoring Agents Assignment Model for the Data-Intensive Applications
M3AT: Monitoring Agents Assignment Model for the Data-Intensive ApplicationsVladislavKashansky
 
A Fault Tolerant Approach To Enhances WSN Lifetime In Star Topology
A Fault Tolerant Approach To Enhances WSN Lifetime In Star TopologyA Fault Tolerant Approach To Enhances WSN Lifetime In Star Topology
A Fault Tolerant Approach To Enhances WSN Lifetime In Star TopologyIRJET Journal
 
Secured channel condition estimation algorithm to remove attacks in mobile ...
Secured channel condition estimation   algorithm to remove attacks in mobile ...Secured channel condition estimation   algorithm to remove attacks in mobile ...
Secured channel condition estimation algorithm to remove attacks in mobile ...IJARIDEA Journal
 
4th Year Project Presentation Slides
4th Year Project Presentation Slides4th Year Project Presentation Slides
4th Year Project Presentation SlidesItrat Rahman
 
False Node Recovery Algorithm for a Wireless Sensor Network
False Node Recovery Algorithm for a Wireless Sensor NetworkFalse Node Recovery Algorithm for a Wireless Sensor Network
False Node Recovery Algorithm for a Wireless Sensor NetworkRadita Apriana
 
Internet Traffic Forecasting using Time Series Methods
Internet Traffic Forecasting using Time Series MethodsInternet Traffic Forecasting using Time Series Methods
Internet Traffic Forecasting using Time Series MethodsAjay Ohri
 
Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking System
Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking SystemHybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking System
Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking SystemTELKOMNIKA JOURNAL
 
Algorithm selection for sorting in embedded and mobile systems
Algorithm selection for sorting in embedded and mobile systemsAlgorithm selection for sorting in embedded and mobile systems
Algorithm selection for sorting in embedded and mobile systemsJigisha Aryya
 

What's hot (20)

Nuzzer algorithm based Human Tracking and Security System for Device-Free Pas...
Nuzzer algorithm based Human Tracking and Security System for Device-Free Pas...Nuzzer algorithm based Human Tracking and Security System for Device-Free Pas...
Nuzzer algorithm based Human Tracking and Security System for Device-Free Pas...
 
Pittcon06 Auto Chrom
Pittcon06 Auto ChromPittcon06 Auto Chrom
Pittcon06 Auto Chrom
 
File 2
File 2File 2
File 2
 
Network Traffic Anomaly Detection Through Bayes Net
Network Traffic Anomaly Detection Through Bayes NetNetwork Traffic Anomaly Detection Through Bayes Net
Network Traffic Anomaly Detection Through Bayes Net
 
Intrusion Detection System Based on K-Star Classifier and Feature Set Reduction
Intrusion Detection System Based on K-Star Classifier and Feature Set ReductionIntrusion Detection System Based on K-Star Classifier and Feature Set Reduction
Intrusion Detection System Based on K-Star Classifier and Feature Set Reduction
 
MTT Data Association
MTT Data AssociationMTT Data Association
MTT Data Association
 
Cooperative Spectrum Sensing Technique Based on Blind Detection Method
Cooperative Spectrum Sensing Technique Based on Blind Detection MethodCooperative Spectrum Sensing Technique Based on Blind Detection Method
Cooperative Spectrum Sensing Technique Based on Blind Detection Method
 
A Fault Tolerant Approach to Enhances Wsn Lifetime in Star Topology
A Fault Tolerant Approach to Enhances Wsn Lifetime in Star TopologyA Fault Tolerant Approach to Enhances Wsn Lifetime in Star Topology
A Fault Tolerant Approach to Enhances Wsn Lifetime in Star Topology
 
VET4SBO Level 3 module 2 - unit 1 - v0.9 en
VET4SBO Level 3   module 2 - unit 1 - v0.9 enVET4SBO Level 3   module 2 - unit 1 - v0.9 en
VET4SBO Level 3 module 2 - unit 1 - v0.9 en
 
Applications of Markov Decision Processes (MDPs) in the Internet of Things (I...
Applications of Markov Decision Processes (MDPs) in the Internet of Things (I...Applications of Markov Decision Processes (MDPs) in the Internet of Things (I...
Applications of Markov Decision Processes (MDPs) in the Internet of Things (I...
 
IRJET- A Secured Method of Data Aggregation for Wireless Sensor Networks in t...
IRJET- A Secured Method of Data Aggregation for Wireless Sensor Networks in t...IRJET- A Secured Method of Data Aggregation for Wireless Sensor Networks in t...
IRJET- A Secured Method of Data Aggregation for Wireless Sensor Networks in t...
 
M3AT: Monitoring Agents Assignment Model for the Data-Intensive Applications
M3AT: Monitoring Agents Assignment Model for the Data-Intensive ApplicationsM3AT: Monitoring Agents Assignment Model for the Data-Intensive Applications
M3AT: Monitoring Agents Assignment Model for the Data-Intensive Applications
 
A Fault Tolerant Approach To Enhances WSN Lifetime In Star Topology
A Fault Tolerant Approach To Enhances WSN Lifetime In Star TopologyA Fault Tolerant Approach To Enhances WSN Lifetime In Star Topology
A Fault Tolerant Approach To Enhances WSN Lifetime In Star Topology
 
Secured channel condition estimation algorithm to remove attacks in mobile ...
Secured channel condition estimation   algorithm to remove attacks in mobile ...Secured channel condition estimation   algorithm to remove attacks in mobile ...
Secured channel condition estimation algorithm to remove attacks in mobile ...
 
4th Year Project Presentation Slides
4th Year Project Presentation Slides4th Year Project Presentation Slides
4th Year Project Presentation Slides
 
False Node Recovery Algorithm for a Wireless Sensor Network
False Node Recovery Algorithm for a Wireless Sensor NetworkFalse Node Recovery Algorithm for a Wireless Sensor Network
False Node Recovery Algorithm for a Wireless Sensor Network
 
Internet Traffic Forecasting using Time Series Methods
Internet Traffic Forecasting using Time Series MethodsInternet Traffic Forecasting using Time Series Methods
Internet Traffic Forecasting using Time Series Methods
 
Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking System
Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking SystemHybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking System
Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking System
 
Algorithm selection for sorting in embedded and mobile systems
Algorithm selection for sorting in embedded and mobile systemsAlgorithm selection for sorting in embedded and mobile systems
Algorithm selection for sorting in embedded and mobile systems
 
Unit i
Unit iUnit i
Unit i
 

Similar to Intro to Multitarget Tracking for CURVE

IOT-WSN: SURVEY ON POSITIONING TECHNIQUES
IOT-WSN: SURVEY ON POSITIONING TECHNIQUESIOT-WSN: SURVEY ON POSITIONING TECHNIQUES
IOT-WSN: SURVEY ON POSITIONING TECHNIQUESijassn
 
Multi Sensor Data Fusion In Target Tracking
Multi Sensor Data Fusion In Target TrackingMulti Sensor Data Fusion In Target Tracking
Multi Sensor Data Fusion In Target TrackingVasuhiSamydurai1
 
Target tracking and mobile sensor navigation in wireless sensor networks
Target tracking and mobile sensor navigation in wireless sensor networksTarget tracking and mobile sensor navigation in wireless sensor networks
Target tracking and mobile sensor navigation in wireless sensor networksJPINFOTECH JAYAPRAKASH
 
Segmentation of Machine learning Algorithm
Segmentation of Machine learning AlgorithmSegmentation of Machine learning Algorithm
Segmentation of Machine learning AlgorithmBathshebaparimala
 
Automatic Target Identification
Automatic Target IdentificationAutomatic Target Identification
Automatic Target IdentificationArtemis Valanis
 
Deep Recurrent Neural Network for Multi-target Filtering
Deep Recurrent Neural Network for Multi-target FilteringDeep Recurrent Neural Network for Multi-target Filtering
Deep Recurrent Neural Network for Multi-target FilteringMehryar (Mike) E., Ph.D.
 
Target tracking and mobile sensor navigation in wireless sensor networks
Target tracking and mobile sensor navigation in wireless sensor networksTarget tracking and mobile sensor navigation in wireless sensor networks
Target tracking and mobile sensor navigation in wireless sensor networksJPINFOTECH JAYAPRAKASH
 
A New Approach for Error Reduction in Localization for Wireless Sensor Networks
A New Approach for Error Reduction in Localization for Wireless Sensor NetworksA New Approach for Error Reduction in Localization for Wireless Sensor Networks
A New Approach for Error Reduction in Localization for Wireless Sensor Networksidescitation
 
SpyropulosPaper
SpyropulosPaperSpyropulosPaper
SpyropulosPaperchuckspy
 
Master defence 2020 - Ivan Prodaiko - Person Re-identification in a Top-view ...
Master defence 2020 - Ivan Prodaiko - Person Re-identification in a Top-view ...Master defence 2020 - Ivan Prodaiko - Person Re-identification in a Top-view ...
Master defence 2020 - Ivan Prodaiko - Person Re-identification in a Top-view ...Lviv Data Science Summer School
 
Support Recovery with Sparsely Sampled Free Random Matrices for Wideband Cogn...
Support Recovery with Sparsely Sampled Free Random Matrices for Wideband Cogn...Support Recovery with Sparsely Sampled Free Random Matrices for Wideband Cogn...
Support Recovery with Sparsely Sampled Free Random Matrices for Wideband Cogn...IJMTST Journal
 
Support Vector machine(SVM) and Random Forest
Support Vector machine(SVM) and Random ForestSupport Vector machine(SVM) and Random Forest
Support Vector machine(SVM) and Random Forestumarcybermind
 
Semi-Automatic Classification Algorithm: The differences between Minimum Dist...
Semi-Automatic Classification Algorithm: The differences between Minimum Dist...Semi-Automatic Classification Algorithm: The differences between Minimum Dist...
Semi-Automatic Classification Algorithm: The differences between Minimum Dist...Fatwa Ramdani
 
Distributed maximum likelihood classification of linear modulations over noni...
Distributed maximum likelihood classification of linear modulations over noni...Distributed maximum likelihood classification of linear modulations over noni...
Distributed maximum likelihood classification of linear modulations over noni...ieeepondy
 
Effective range free localization scheme for wireless sensor network
Effective range  free localization scheme for wireless sensor networkEffective range  free localization scheme for wireless sensor network
Effective range free localization scheme for wireless sensor networkijmnct
 
Injection Attack detection using ML for
Injection Attack detection using ML  forInjection Attack detection using ML  for
Injection Attack detection using ML forKhazane Hassan
 

Similar to Intro to Multitarget Tracking for CURVE (20)

IOT-WSN: SURVEY ON POSITIONING TECHNIQUES
IOT-WSN: SURVEY ON POSITIONING TECHNIQUESIOT-WSN: SURVEY ON POSITIONING TECHNIQUES
IOT-WSN: SURVEY ON POSITIONING TECHNIQUES
 
Multi Sensor Data Fusion In Target Tracking
Multi Sensor Data Fusion In Target TrackingMulti Sensor Data Fusion In Target Tracking
Multi Sensor Data Fusion In Target Tracking
 
Target tracking and mobile sensor navigation in wireless sensor networks
Target tracking and mobile sensor navigation in wireless sensor networksTarget tracking and mobile sensor navigation in wireless sensor networks
Target tracking and mobile sensor navigation in wireless sensor networks
 
Segmentation of Machine learning Algorithm
Segmentation of Machine learning AlgorithmSegmentation of Machine learning Algorithm
Segmentation of Machine learning Algorithm
 
Automatic Target Identification
Automatic Target IdentificationAutomatic Target Identification
Automatic Target Identification
 
Deep Recurrent Neural Network for Multi-target Filtering
Deep Recurrent Neural Network for Multi-target FilteringDeep Recurrent Neural Network for Multi-target Filtering
Deep Recurrent Neural Network for Multi-target Filtering
 
Target tracking and mobile sensor navigation in wireless sensor networks
Target tracking and mobile sensor navigation in wireless sensor networksTarget tracking and mobile sensor navigation in wireless sensor networks
Target tracking and mobile sensor navigation in wireless sensor networks
 
A New Approach for Error Reduction in Localization for Wireless Sensor Networks
A New Approach for Error Reduction in Localization for Wireless Sensor NetworksA New Approach for Error Reduction in Localization for Wireless Sensor Networks
A New Approach for Error Reduction in Localization for Wireless Sensor Networks
 
SpyropulosPaper
SpyropulosPaperSpyropulosPaper
SpyropulosPaper
 
Master defence 2020 - Ivan Prodaiko - Person Re-identification in a Top-view ...
Master defence 2020 - Ivan Prodaiko - Person Re-identification in a Top-view ...Master defence 2020 - Ivan Prodaiko - Person Re-identification in a Top-view ...
Master defence 2020 - Ivan Prodaiko - Person Re-identification in a Top-view ...
 
Cognitve ranging
Cognitve rangingCognitve ranging
Cognitve ranging
 
C1802022430
C1802022430C1802022430
C1802022430
 
Support Recovery with Sparsely Sampled Free Random Matrices for Wideband Cogn...
Support Recovery with Sparsely Sampled Free Random Matrices for Wideband Cogn...Support Recovery with Sparsely Sampled Free Random Matrices for Wideband Cogn...
Support Recovery with Sparsely Sampled Free Random Matrices for Wideband Cogn...
 
PNN and inversion-B
PNN and inversion-BPNN and inversion-B
PNN and inversion-B
 
Support Vector machine(SVM) and Random Forest
Support Vector machine(SVM) and Random ForestSupport Vector machine(SVM) and Random Forest
Support Vector machine(SVM) and Random Forest
 
Semi-Automatic Classification Algorithm: The differences between Minimum Dist...
Semi-Automatic Classification Algorithm: The differences between Minimum Dist...Semi-Automatic Classification Algorithm: The differences between Minimum Dist...
Semi-Automatic Classification Algorithm: The differences between Minimum Dist...
 
Distributed maximum likelihood classification of linear modulations over noni...
Distributed maximum likelihood classification of linear modulations over noni...Distributed maximum likelihood classification of linear modulations over noni...
Distributed maximum likelihood classification of linear modulations over noni...
 
Hl3413921395
Hl3413921395Hl3413921395
Hl3413921395
 
Effective range free localization scheme for wireless sensor network
Effective range  free localization scheme for wireless sensor networkEffective range  free localization scheme for wireless sensor network
Effective range free localization scheme for wireless sensor network
 
Injection Attack detection using ML for
Injection Attack detection using ML  forInjection Attack detection using ML  for
Injection Attack detection using ML for
 

Recently uploaded

How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGGoogle AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGSujit Pal
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 

Recently uploaded (20)

How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGGoogle AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAG
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 

Intro to Multitarget Tracking for CURVE

  • 1. Introduction to Target Detection, Tracking and Sensor Data Fusion Huimin Chen University of New Orleans Department of Electrical Engineering New Orleans LA 70148 Tutorial Slides Made Based on YBS&LI’s Tracking Book
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Finding Unknown Number of Targets Missile defense application: to detect and estimate missile trajectories (2 targets here)
  • 10.
  • 11.
  • 12. Tracking Maneuvering Targets in Clutter (Cont’d) The more models the better? Figure used with courtesy of Prof. Yaakov Bar-Shalom
  • 13.
  • 14.
  • 15. Tracking Closely-Spaced Objects Sensor 1 Located at [0, 0] Sensor 2 Located at [180km, 80km] Tracking of Spawning Targets: Use geometrically dispersed sensors to obtain better resolution
  • 16.
  • 17.
  • 18.