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The Impact of Detector Architecture, Model Scale, and Scene Density on Multi-Pedestrian Tracking

Alves, Pedro Manoel Herminio et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionmachine-learning
Pedestrian tracking in video is important for applications such as surveillance and scene analysis, but it becomes more challenging in crowded scenarios with frequent occlusions and rapid motion. This paper analyzes how detector architecture, model scale, scene density, and inference regime affect t
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