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 usi...Show MoreMetadata
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) based on color appearance and histogram of gradient (HOG) features. More specifically, the color appearance features, in terms of kernel histogram, are used for tracking each body part from one frame to the next, the deformation cost provided by DPM detector is further used to constrain the movement of each body kernel based on the HOG features. The proposed deformable multiple-kernel (DMK) tracking algorithm takes advantage of not only low computation owing to the kernelbased tracking, but also robustness of the DPM detector. Experimental results have shown the favorable performance of the proposed algorithm, which can successfully track human using a moving camera more accurately under different scenarios.
Published in: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Date of Conference: 19-24 April 2015
Date Added to IEEE Xplore: 06 August 2015
Electronic ISBN:978-1-4673-6997-8
ISSN Information:
College of Communication and Information Engineering, Shanghai University, Shanghai, China
School of Information Engineering, Huangshan University, Huangshan, China
College of Communication and Information Engineering, Shanghai University, Shanghai, China
Dept. Electrical Engineering, University of Washington, Seattle, WA, USA
Dept. Electrical Engineering, University of Washington, Seattle, WA, USA
Applied Physics Laboratory, University of Washington, Seattle, WA, USA
Applied Physics Laboratory, University of Washington, Seattle, WA, USA
Contents College of Communication and Information Engineering, Shanghai University, Shanghai, China
School of Information Engineering, Huangshan University, Huangshan, China
College of Communication and Information Engineering, Shanghai University, Shanghai, China
Dept. Electrical Engineering, University of Washington, Seattle, WA, USA
Dept. Electrical Engineering, University of Washington, Seattle, WA, USA
Applied Physics Laboratory, University of Washington, Seattle, WA, USA
Applied Physics Laboratory, University of Washington, Seattle, WA, USA
