Papers › Efficient online multi-camera tracking with memory-efficient accumulated appearance...
Efficient online multi-camera tracking with memory-efficient accumulated appearance features and trajectory validation
Lap Quoc Tran, Huan Duc Vi
Multi-camera tracking (MCT) plays a crucial role in various computer vision applications. However, accurate tracking of individuals across multiple cameras faces challenges, particularly with identity switches. In this paper, we present an efficient online MCT system that tackles these challenges through online processing. Our system leverages memory-efficient accumulated appearance features to provide stable representations of individuals across cameras and time. By incorporating trajectory validation using hierarchical agglomerative clustering (HAC) in overlapping regions, ID transfers are identified and rectified. Evaluation on the 2024 AI City Challenge Track 1 dataset [39] demonstrates the competitive performance of our system, achieving accurate tracking in both overlapping and nonoverlapping camera networks. With a 40.3% HOTA score [29], our system ranked 9th in the challenge. The integration of trajectory validation enhances performance by 8% over the baseline, and the accumulated appearance features further contribute to a 17% improvement.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Multi-Object Tracking | 2024 AI City Challenge | Asilla | AssA | 32.50 | #8 of 8 | Archive leaderboard | report |
| Multi-Object Tracking | 2024 AI City Challenge | Asilla | DetA | 53.80 | #8 of 8 | Archive leaderboard | report |
| Multi-Object Tracking | 2024 AI City Challenge | Asilla | HOTA | 40.34 | #8 of 8 | Archive leaderboard | report |
| Multi-Object Tracking | 2024 AI City Challenge | Asilla | LocA | 89.57 | #8 of 8 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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