ConfTrack: Kalman Filter-based Multi-Person Tracking by Utilizing Confidence Score of Detection Box
Author:
Affiliation:
1. HL Klemove,Republic of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10483279/10483282/10483909.pdf?arnumber=10483909
Reference47 articles.
1. BoT-SORT: Robust associations multi-pedestrian tracking;Aharon,2022
2. Tracking Without Bells and Whistles
3. Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics
4. Simple online and realtime tracking
5. The opencv library;Bradski;Dr. Dobb’s Journal: Software Tools for the Professional Programmer,2000
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2. Multiobject Tracking Algorithm With Adaptive Noise Calculation and Information Fusion in Crowded Environments;IEEE Sensors Journal;2024-09-01
3. Estimation Algorithms via Kalman Filter Gain;International Journal of Applied Mathematics, Computational Science and Systems Engineering;2024-07-05
4. NanoTrack: An Enhanced MOT Method by Recycling Low-score Detections from Light-weight Object Detector;Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition;2024-04-26
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