Real-Time Human Detection Based on the Improved Local Binary Pattern

Dong Mei Wu; Xing Ma; Jing Wang; Hao Zhang

doi:10.4028/www.scientific.net/AMR.1044-1045.1246

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1044-1045Real-Time Human Detection Based on the Improved...

Real-Time Human Detection Based on the Improved Local Binary Pattern

Abstract:

By analyzing the detection accuracy and the testing speed of the Local Binary Pattern. we propose an improved LBP algorithm and apply it in human detection. Through the signs of the comparisons among neighboring pixels, it will get the histogram of the detection window. Then we can encode the global contour by the distribution coefficient of the histogram. when the Linear classifier is used, we propose a fast computational method that does not need to explicitly generate feature vectors and not require feature vectors normalization. experiment shows that this method has higher efficiency and can’t reduce the accuracy, it achieves 19 fps speed and can be used in a real-time system.

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Periodical:

Advanced Materials Research (Volumes 1044-1045)

Pages:

1246-1250

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.1246

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Online since:

October 2014

Authors:

Dong Mei Wu*, Xing Ma, Jing Wang, Hao Zhang

Keywords:

Fast Computational Method, Human Detection, Local Binary Pattern (LBP)

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* - Corresponding Author

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