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MVTrack: Ultrafast Appearance-Free Moving Object Tracking from Compressed Bitstreams

2026-08-11 10:53:22
I\~naki Erregue, Kamal Nasrollahi, Sergio Escalera
arXiv_AI
             
Abstract

Deploying modern video trackers at scale is bottlenecked by the computational cost of RGB-based object detectors. To this end, we present MVTrack, an ultrafast tracker for moving objects that operates directly on H.264 bitstreams. MVTrack combines MVDet, a lightweight detector for motion vector fields, with MVLink, a minimalist kinematic association module. On VIRAT, MVTrack outperforms YOLO26n while using 60$\times$ fewer parameters, requiring 40$\times$ fewer FLOPs, and reducing CPU latency by 8.6$\times$. These results demonstrate that compressed video data alone can enable accurate and scalable surveillance tracking, thereby bypassing the need for pixel reconstruction.

Abstract (translated)

URL

https://arxiv.org/abs/2608.10790

PDF

https://arxiv.org/pdf/2608.10790.pdf

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