Deformable multiple-kernel based human tracking using a moving camera

IEEE International Conference on Acoustics, Speech and SP, pp. 2249-2253, 2015.

Cited by: 9|Bibtex|Views30|DOI:https://doi.org/10.1109/ICASSP.2015.7178371
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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

In this paper, we propose an innovative human tracking algorithm, which efficiently integrates the deformable part model (DPM) into the multiple-kernel based tracking using a moving camera. By representing each part model of a DPM detected human as a kernel, the proposed algorithm iteratively mean-shift the kernels (i.e., part models) bas...More

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