TRACKING OF MOVING OBJECTS IN VIDEO USING PASSIVE FILTER AND HIGH PERFORMANCE DETECTOR
DOI:
https://doi.org/10.24867/10BE29MrdjenKeywords:
Object tracking; IOU algorithm; YOLOv3 object detector; DETRAC evaluation protocolAbstract
The paper describes the problem of tracking moving objects in video and implements system components based on passive filtering of detections in each frame. Through numerical experiments based on DETRAC evaluation protocol the best parameters for the configuration of IOU algorithm and YOLOv3 object detector were determined.
References
[1] J. Redmon and A. Fahradi, “YOLOv3: An Incremental Improvement“, 2018.
[2] E. Bochinski, V. Eiselein and T. Sikora, “High-Speed Tracking-by-Detection Without Using Image Information”, 2017.
[3] L. Wena et al., “UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking”, 2020.
[4] "The UA-DETRAC Benchmark Suite", Detrac-db.rit.albany.edu, 2020. [Online]. Dostupno na: http://detrac-db.rit.albany.edu/download.[Pristupljeno: 08- Sep- 2020].
[2] E. Bochinski, V. Eiselein and T. Sikora, “High-Speed Tracking-by-Detection Without Using Image Information”, 2017.
[3] L. Wena et al., “UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking”, 2020.
[4] "The UA-DETRAC Benchmark Suite", Detrac-db.rit.albany.edu, 2020. [Online]. Dostupno na: http://detrac-db.rit.albany.edu/download.[Pristupljeno: 08- Sep- 2020].
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Published
2020-11-04
Issue
Section
Electrotechnical and Computer Engineering
