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http://dx.doi.org/10.5573/ieie.2014.51.9.119

Fast Human Detection Method in Range Data using Adaptive UV-histogram and Template Matching  

Yoon, Bumsik (Samsung Electronics)
Kim, Whoi-Yul (Dept. of Electronic and Computer Engineering, Hanyang University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.9, 2014 , pp. 119-128 More about this Journal
Abstract
In this paper, a fast human detection method using adaptive UV-histogram and template matching is proposed. The proposed method improves the detection rate in the scene of complex environment. The method firstly generates U-histogram to extract human candidates and adaptively generates V-histogram for each labled U-histogram, thus it could extract humans correctly, which was impossible in the previous method. The method tries to match the human candidates with the adaptively sized omega shape template to the focal length and distance in order to improve the detection accuracy. It also detects false positives by rematching the template with accumulated foreground images and hence is robust to the occlusion. Experimental results showed that the proposed method has superior performance to the Bae's method in the complex environment with about 15% improvement in precision and 80% in recall and has 20 times faster processing time than Xia's method.
Keywords
human detection; UV-histogram; template matching;
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  • Reference
1 N. Dalal B. Triggs, and C. Schmind, "Histogram of oriented of gradients for human detection" in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 886-893, 2005.
2 Q. Zhu, S. Avidan, M. C. Yeh, and K. T. Cheng, "Fast Human Detection Using a Cascade of Histograms of Oriented Gradients," CVPR 2006.
3 L. Xia, C. C. Chen, and J. K. Aggarwal, "Human Detection Using Depth Information by Kinect," Workshop on Human Activity Understanding from 3D Data in conjunction with CVPR, 2011.
4 J. M. Hyun, J. H. Kwak, H. J. Ji, K. K. Kim, and W. Y. Kim, "Human Detection in Range data using Human Shape Features," Korean Signal Processing Conference, 2011.
5 http://www.mesa-imaging.ch/prodview4k.php
6 R. Benenson, M. Mathias, R. Timofte and L. Van Gool, "Pedestrian detection at 100 frames per second," CVPR 2012.
7 http://msdn.microsoft.com/en-us/library/hh855347.aspx
8 H.J. Bae, M. S. Na, W. Y. Kim, "Fast Human Detection Method in Range data using UV-disparity and Template Matching," Proceedings of the IEEK Fall Conference, pp. 512-515, 2013.
9 http://www.opencv.org
10 http://www.xbox.com/en-US/xbox360/accessories/kinect