Enhanced Multi-Person Tracking Method Based on ByteTrack Architecture
Cho Nilar Phyo, Thi Thi Zin, Pyke Tin · 2025
This paper presents an enhanced tracking method built upon the ByteTrack architecture for efficient and robust multi-person tracking in challenging environments. The proposed system enhances ByteTrack with improved track management strategies, especially for solving the ID increasing issue of ByteTrack. Experimental results on multi-person tracking dataset demonstrate superior performance compared to baseline approach. This findings suggest that the proposed enhancements make ByteTrack more suitable for crowded or dynamic scenes where precise person tracking is essential.