12033

3D Objects Tracking by GPGPU-Enhanced Particle Filter Algorithms

Jieyun Zhou, Masayuki Numao, Xiaofeng Li, Haitao Chen
The School of Communication and Information, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, P.R.China
DEIM Forum, D9-2, 2014

@article{zhou2014object,

   title={3D Objects Tracking by GPGPU-Enhanced Particle Filter Algorithms},

   author={ZHOU, Jieyun and NUMAO, Masayuki and LI, Xiaofeng and CHEN, Haitao},

   year={2014}

}

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Objects tracking methods have been wildly used in the field of video surveillance, motion monitoring, robotics and so on. Particle filter is one of the promising methods, but it is difficult to apply for real time objects tracking because of its high computation cost. In order to reduce the processing cost without sacrificing the tracking quality, this paper proposes a new method for real-time 3D objects tracking, using GPGPU-enhanced particle filter algorithms.
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