High performance pedestrian detector using local segmentation self-similarity in complex scenes-Reference-Cited by-同舟云学术

High performance pedestrian detector using local segmentation self-similarity in complex scenes

Published:2014-03 Issue:1 Volume:24 Page:93-101
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Gao Hongbo,Wang Hongyu,Liu Xiaokai,Ma Xiaorui

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1134/S1054661814010040.pdf

Reference32 articles.

1. D. Geronimo, A. M. Lopez, A. D. Sappa, and T. Graf, “Survey of pedestrian detection for advanced driver assistance systems,” IEEE Trans. Pattern Anal. Mach. Intellig. 32(7), 1239–1258 (2010).

2. C. H. Lampert, M. B. Blaschko, and T. Hofmann, “Beyond sliding windows: Object localization by efficient subwindow search,” in Proc. Computer Vision and Pattern Recognition Conf. (CVPR 2008) (Anchorage, 2008).

3. A. Lehmann, B. Leibe, and L. van Gool, “Feature-centric efficient subwindow search,” in Proc. Computer Vision Conf. (Kyoto, 2009), pp. 940–947.

4. I. Ulusoy and C. M. Bishop, “Generative versus discriminative methods for object recognition,” in Proc. Computer Vision and Pattern Recognition Conf. (San Diego, 2005), pp. 258–265.

5. J. A. Lasserre, C. M. Bishop, and T. P. Minka, “Principled hybrids of generative and discriminative models,” in Proc. Computer Vision and Pattern Recognition Conf. (New York, 2006), pp. 87–94.

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