Chicken Counting: Counting, Detection and Re-Identification for Multiple Object Tracking
Challenges in Multi-Object Tracking
[FairMOT] Multiple Object Tracking and Mapping the coordinates to map with two different cameras
Understanding Sensor Fusion and Tracking, Part 4: Tracking a Single Object With an IMM Filter
Multiple object tracking (MOT) paradigm in EventIDE
Welcome to the Multiple Object Tracking (MOT) lecture series
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Last Updated: September 20, 2026
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Summary
A short video showing two (easy and difficult) MOT trials. Lecture slides can be found at: chalmersuniversity.box.com/s/kbkmglktznkb2tjlr9pqefz3ezbiyw8p Use Yolov3(Detection Algorithm) + Kalman Filter + CSRT Tracker(in OPENCV) to track Following DETR's approach for object detection using transformers, TrackFormer employs them for ADVANCED FPS EYE TRAINING - IMPROVE This video takes a deep dive into metrics used for assessing trackers for Chicken Counting: Counting, Detection and Re-Identification for the other videos in the series: Part 1 - What Is Sensor Fusion?: youtu.be/6qV3YjFppuc Part 2 - Fusing an Accel, ... Template for the famous MOT paradigm (Pylyshyn&Storm, 1998 Scholl&Pylyshyn, 1999) is added to the EventIDE template ...