Understanding Multi Object Tracking
Let's dive into the details surrounding Multi Object Tracking. A short video showing two (easy and difficult) MOT trials.
Key Takeaways about Multi Object Tracking
- Multiple object tracking (cognitive task)
- Lecture slides can be found at: https://chalmersuniversity.box.com/s/kbkmglktznkb2tjlr9pqefz3ezbiyw8p
- [FairMOT] Multiple Object Tracking and Mapping the coordinates to map with two different cameras
- This video takes a deep dive into metrics used for assessing trackers for
- Following DETR's approach for object detection using transformers, TrackFormer employs them for
Detailed Analysis of Multi Object Tracking
Use Yolov3(Detection Algorithm) + Kalman Filter + CSRT Tracker(in OPENCV) to Multiple object tracking (MOT) paradigm in EventIDE ADVANCED FPS EYE TRAINING - IMPROVE
MOT20: Multiple Object Tracking (MOT) Using Deep Features
That wraps up our extensive overview of Multi Object Tracking.
