Abstract
Journal: AVSS 2026
WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps
- Authors
- Tomasz Stanczyk, Yuan Gao, Hardik Agarwal...
- Categories
- cs.CV
Brief
WaspMOT introduces a long-duration MOT benchmark of Trichogramma wasps (10 sequences, ~12k frames each at 25 FPS) with dense MOTChallenge annotations and oracle detections. Evaluations of ByteTrack, BoT-SORT, C-BIoU, OC-SORT, and McByte reveal severe trajectory fragmentation despite perfect detections; a simple tracklet-stitching baseline yields consistent gains, highlighting gaps in current association methods.
Why it matters
WaspMOT provides 10 long sequences (~12,000 frames each; >8 minutes at 25 FPS) of Trichogramma wasps with dense MOTChallenge-style annotations and oracle detections in a closed-set setting where all individuals persist throughout each sequence.
Key details
- Evaluation of five tracking-by-detection methods (ByteTrack, BoT-SORT, C-BIoU, OC-SORT, McByte) shows significant trajectory fragmentation and long-term identity failures even with perfect detections.
- A simple spatial tracklet-stitching baseline consistently improves results, indicating substantial room to improve long-term association; dataset and code are available at https://github.com/tstanczyk95/WaspMOT/.