Comparative Study of Various Feature Extraction Techniques for Pedestrian Detection

Author:

Hiranmai M,Krupa B Niranjana,Nagaraj H K

Publisher

Elsevier BV

Subject

General Engineering

Reference14 articles.

1. Navneet D, Bill T. Histogram of oriented gradients for human detection. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), 2005; p. 886 - 93.

2. Rodrigo B, Mohamed O, Jan H, Bernt S. Ten years of pedestrian detection, what have we learned?. European Conference on Computer Vision (ECCV), 2014; p. 613–27.

3. Heikkilä M, Pietikäinen M, Schmid C. Description of interest regions with center-symmetric local binary patterns. Proceedings International Conference on Computer Vision, Graphics and Image Processing, 2006; p. 58-69.

4. Yongbin Z, Chunhua S, Richard H, Xinsheng H. Effective pedestrian detection using center-symmetric local binary/trinary patterns. Computer Vision and Pattern Recognition, arXiv:1009.0892v2, September 2010.

5. Mi Ra Jeong, Jun-Yong Kwak, Jung Eun Son, Byoung Chul Ko, Jae-Yeal Nam. Fast pedestrian detection using a night vision system for safety driving. 11th International Conference on Computer Graphics, Imaging and Visualiztion, 2014; p. 69-72.

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