Pedestrian Detection Based on Active Basis

Sheng Ke Wang; Lan Xu; Xiaowei Xu

doi:10.4028/www.scientific.net/AMM.263-266.2635

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Pedestrian Detection Based on Active Basis

Pedestrian Detection Based on Active Basis

Abstract:

Pedestrian detection from a video sequence is a challenging problem. In this paper, we mainly use active basis model which consists of a small number of Gabor wavelet elements at selected locations and orientations to detect pedestrian. In order to enhance the detection rate, we propose an adaptive background modeling method for background subtraction method to detect objects in video sequence which emphasize background and remove foreground using mask technology. After acquiring many pedestrian templates of different poses and orientations, active basis method can be applied in pose estimation and human action analysis. The detection results indicate that our approach is capable of obtaining better detecting effects and pose estimation even under conditions of noise and illumination changes.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

2635-2638

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.2635

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Online since:

December 2012

Authors:

Sheng Ke Wang*, Lan Xu, Xiaowei Xu

Keywords:

Active Basis Method, Background Modeling Method, Pedestrian Detection

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