Hybrid 3D-2D human tracking in a top view

Abstract : This paper addresses the problem of 3D tracking of human gesture for buying behavior estimation. The top view of the customers, which has been little treated for human tracking, is exploited in this particular context. This point of view avoids occlusion except for those of the arms. We propose an hybrid 3D-2D tracking method based on the particle filtering framework, which uses the exclusion principle to separate the observation related to each customer and deals with multi-person tracking. The head and shoulders are tracked in the 2D space, while the arms are tracked in the 3D space: these are the spaces where they are the most descriptive. We validate our method both experimentally, so as to obtain qualitative results, and on-site. We demonstrated that it makes a good estimation for various cases and situations in real-time ((Formula presented.)40 fps).
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https://hal.archives-ouvertes.fr/hal-01007424
Contributor : Frédéric Davesne <>
Submitted on : Monday, June 16, 2014 - 5:34:49 PM
Last modification on : Monday, October 28, 2019 - 11:00:21 AM

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Cyrille Migniot, Fakhr-Eddine Ababsa. Hybrid 3D-2D human tracking in a top view. Journal of Real-Time Image Processing, Springer Verlag, 2016, 11 (4), pp.769--784. ⟨10.1007/s11554-014-0429-7⟩. ⟨hal-01007424⟩

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