Journal of Computer Sciences and Applications
ISSN (Print): 2328-7268 ISSN (Online): 2328-725X Website: http://www.sciepub.com/journal/jcsa Editor-in-chief: Minhua Ma, Patricia Goncalves
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Journal of Computer Sciences and Applications. 2013, 1(1), 1-4
DOI: 10.12691/jcsa-1-1-1
Open AccessArticle

Real-Time Object Tracking by CUDA-accelerated Neural Network

Mikhail S. Tarkov1, and Sergey V. Dubynin2

1A.V. Rzhanov’s Institute of Semiconductor Physics SB RAS, Novosibirsk, Russia

2Novosibirsk State University, Novosibirsk, Russia

Pub. Date: February 28, 2013

Cite this paper:
Mikhail S. Tarkov and Sergey V. Dubynin. Real-Time Object Tracking by CUDA-accelerated Neural Network. Journal of Computer Sciences and Applications. 2013; 1(1):1-4. doi: 10.12691/jcsa-1-1-1

Abstract

An algorithm is proposed for tracking objects in real time. The algorithm is based on neural network implemented on GPU. Investigation and parameter optimization of the algorithm are realized. Tracking process has accelerated by 10 times and the training process has accelerated by 2 times versus to the sequential algorithm version. The maximum resolution of the frame for real-time tracking and the optimum frame sampling from a movie are calculated.

Keywords:
object tracking neural network parallel computing CUDA

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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