4 papers · 1 filter
Training-Free Long-Term Multi-Object Tracking for Sports Video Analytics
Tomasz Stanczyk, Seongro Yoon, Francois Bremond
Long-term multi-object tracking in sports remains challenging due to frequent occlusions, rapid camera motion, and repeated player reappearances. We introduce McByte++, a training-…
WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps
Tomasz Stanczyk, Yuan Gao, Hardik Agarwal +4
Multi-object tracking (MOT) has achieved strong performance on benchmarks dominated by short video sequences. However, such datasets do not adequately evaluate long-term identity p…
No Train Yet Gain: Towards Generic Multi-Object Tracking in Sports and Beyond
Tomasz Stanczyk, Seongro Yoon, Francois Bremond
Multi-object tracking (MOT) is essential for sports analytics, enabling performance evaluation and tactical insights. However, tracking in sports is challenging due to fast movemen…
Temporally Propagated Masks and Bounding Boxes: Combining the Best of Both Worlds for Multi-Object Tracking
Tomasz Stanczyk, Francois Bremond
Multi-object tracking (MOT) involves identifying and consistently tracking objects across video sequences. Traditional tracking-by-detection methods, while effective, often require…