ByteTraX: Enhancing the ByteTrack Architecture with Optimised Thresholding
The ByteTrack algorithm is a widely used and computationally efficient multi-object tracking architecture. Its core innovation lies in the combination of lenient bounding box associations with tracklet similarity matching to robustly deal with object occlusions. However, this strategy is nevertheless vulnerable to erroneous track reclassification and identity switching, as detection confidence scores dictate association priority. To address this, I present a simple enhancement of the ByteTrack architecture--named ByteTraX--that optimises track continuity via a single unified matching threshold, while penalising identity switches through stringent track initiation criteria. This approach a...
| Authors | Thomas A. O'Shea-Wheller |
|---|---|
| Primary category | cs.CV |
| Published | 29 September 2026 |
| Last updated at source | 1 October 2026 |
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