초록

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Abstract ▼ AI-Helper

Tracking human in a long video sequence is a challenging problem due to pose variations, occlusions, background clutter, shot changes, etc. We propose a persistent real-time tracking algorithm that handles such challenges in a robust manner by combining a tracking algorithm with a human detector; th...

Tracking human in a long video sequence is a challenging problem due to pose variations, occlusions, background clutter, shot changes, etc. We propose a persistent real-time tracking algorithm that handles such challenges in a robust manner by combining a tracking algorithm with a human detector; the integration of human detector improves tracking performance through the interaction between tracker and detector. Our tracking algorithm is implemented efficiently by the optimization of detector parameter and proper parallelization, and runs real-time in a standard PC. We present tracking results by our algorithm in several challenging sequences containing pose changes, occlusion, background clutter, camera noises, motion blurs, and shot changes.

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