ARC-SORT: Adaptive, Robust, Compensated Multi-Object Tracking with Interacting Multiple Models
Paper recorded by Signals 4 on 2026-10-15 in cs.CV. Abstract reproduced from arXiv; link to the original below.
Published 2026-10-15 on arXiv · recorded by Signals 4 on 2026-10-16
Category: cs.CV · 计算机视觉 · first seen 2026-10-16
Abstract
Multi-object tracking in sports broadcasts is hard for two reasons: athletes move fast and change direction abruptly, and the camera pans and zooms at the same time. We present ARC-SORT (Adaptive, Robust, Compensated SORT), a tracking-by-detection tracker that trains nothing and runs in real time. Its design rule: the tracker measures its own uncertainty, and that measurement decides how it acts.
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Cite this page: ARC-SORT: Adaptive, Robust, Compensated Multi-Object Tracking with Interacting Multiple Models: the #260 most recent of 756 cs.CV papers we have recorded (as of 2026-10-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/arc-sort-adaptive-robust-compensated-multi-object-tracking-with-interacting-mult.html
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