Study on Zenithal Pedestrian Detection Algorithm

DOI

10.2991/aiie-15.2015.10How to use a DOI?

Keywords

pedestrian detection; hough transform; edge detection; matlab

Abstract

Pedestrian detection is a hot and difficulty topic in computer vision. This paper presents a zenithal pedestrian detection algorithm designed with the circular feature of pedestrian head in case of top view. It is a reliable pedestrian detection strategy for intelligent illumination control system. The active edge detection algorithmextracts the pedestrian edge, and grads Hough transformdetects the circular feature of pedestrian head. Matlab simulation experiments show that the detection method can effectively detect pedestrian and eliminate the interference.

Copyright

© 2015, 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  - D.Y. Shen
AU  - M.H. Xu
PY  - 2015/07
DA  - 2015/07
TI  - Study on Zenithal Pedestrian Detection Algorithm
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 33
EP  - 36
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.10
DO  - 10.2991/aiie-15.2015.10
ID  - Shen2015/07
ER  -