Human detection method based on feature co-occurrence of HLAC and HOG

M. Morita, M. Ding, H. Takemura, H. Mizoguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a new human detection method, which is robust to illumination change and does almost not confuse human with other objects even they have similar contours. This method is based on integration with two features: Higher-order Local Auto-Correlation (HLAC) features and Histograms of Oriented Gradients (HOG) features. HLAC features can give a broad pattern of gray scale image. The features are invariant to shift, but poor at illumination change. HOG features can give an accurate description of contour of human body. These are robust to illumination change, but usually confuse human with other thing that similar contour. In order to make up these deficits, we use co-occurrence of multiple features to integrate HOG and HLAC features. In our experiments, we obtain 20.1% lower value on false positive per window than other proposed method when miss rates are similar. These results proved the effectiveness of this new method.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
Pages1689-1694
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2011
Event2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 - Phuket, Thailand
Duration: 7 Dec 201111 Dec 2011

Publication series

Name2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

Conference

Conference2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
CountryThailand
CityPhuket
Period7/12/1111/12/11

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Morita, M., Ding, M., Takemura, H., & Mizoguchi, H. (2011). Human detection method based on feature co-occurrence of HLAC and HOG. In 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 (pp. 1689-1694). [6181532] (2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011). https://doi.org/10.1109/ROBIO.2011.6181532