Reliable multi-object tracking dealing with occlusions for a smart camera

Abstract : In this paper, a multi-object tracking system designed for a low cost embedded smart camera is proposed. Objects tracking constitutes a main step in video-surveillance applications. Because of the number of cameras used to cover a large area, surveillance applications are constrained by the cost of each node, the power efficiency of the system, the robustness of the tracking algorithm and the real-time processing. They require a reliable multi-object tracking algorithm that can run in a real-time on light computing architectures. In this paper, we propose a tracking pipeline designed for a fixed smart camera that can handle occlusions between objects. We show that the proposed pipeline reaches real- time processing on the RaspberryPi board equipped with the RaspiCam camera. The tracking quality of the proposed pipeline is evaluated on publicly available datatsets: PETS2009 and CAVIAR.
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https://hal-cea.archives-ouvertes.fr/cea-01818888
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Submitted on : Tuesday, June 19, 2018 - 4:21:51 PM
Last modification on : Wednesday, January 23, 2019 - 2:39:33 PM

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A. Dziri, M. Duranton, R. Chapuis. Reliable multi-object tracking dealing with occlusions for a smart camera. ICDSC '15 Proceedings of the 9th International Conference on Distributed Smart Cameras, Sep 2015, seville, Spain. pp.26-31, ⟨10.1145/2789116.2789119⟩. ⟨cea-01818888⟩

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