Pedestrian Detection Using Self-Organizing Map Neutral Network

DOI

10.2991/iccsee.2013.399How to use a DOI?

Keywords

object detection,image interpolation,Haar wavelet,SOM, side views detection

Abstract

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

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yong-biao Shi
AU  - Feng Guo
AU  - Xiang Long
PY  - 2013/03
DA  - 2013/03
TI  - Pedestrian Detection Using Self-Organizing Map Neutral Network
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1590
EP  - 1593
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.399
DO  - 10.2991/iccsee.2013.399
ID  - Shi2013/03
ER  -