Pedestrian Detection Based on SOM Neutral Network

Shi Yong Biao; Guo Feng; Long Xiang

doi:10.4028/www.scientific.net/AMM.380-384.3858

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Pedestrian Detection Based on SOM Neutral Network

Pedestrian Detection Based on SOM Neutral Network

Abstract:

This paper presents a method of detecting pedestrians side in video frames of cluttered scenes. This detection technique is based on the idea of wavelet template and SOM neutral network. In order to make detection results more accurate and reduce computation cost, we combine background subtraction and frames difference to decide where pedestrians stand in a frame.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

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3858-3861

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.3858

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Online since:

August 2013

Authors:

Shi Yong Biao, Guo Feng, Long Xiang

Keywords:

Haar Wavelet, Object Detection, Side Views Detection, SOM

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