Pedestrian detection - a neuromorphic approach

Author

Woo Joon Han ; Il Song Han

Author_Institution

Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea

fYear

2011

fDate

7-10 Aug. 2011

Firstpage

1

Lastpage

4

Abstract

In this paper, an algorithm inspired from human brain was implemented. The characteristics of visual cortex were used to extract orientation features from an image taken from a hand held camera on a bus. The result showed detection of pedestrians nearer to the camera so to ignore pedestrians that are too far away for any danger in pedestrian detection for vehicle application. Also the detection of pedestrian with bigger motion that represents danger for a vehicle was tested with success the idea that human eye has more interest in objects in motion rather than the image in whole. The feasibility of applying this idea is further extended when it can be implemented electronically using 0.18um CMOS technology.

Keywords

CMOS integrated circuits; cameras; feature extraction; image motion analysis; object detection; road vehicles; traffic engineering computing; CMOS technology; feature extraction; hand held camera; human brain; human eye; neuromorphic approach; pedestrian detection; pedestrian motion; size 0.18 mum; vehicle application; visual cortex; Image recognition; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems (MWSCAS), 2011 IEEE 54th International Midwest Symposium on

Conference_Location

Seoul

ISSN

1548-3746

Print_ISBN

978-1-61284-856-3

Electronic_ISBN

1548-3746

Type

conf

DOI

10.1109/MWSCAS.2011.6026529

Filename

6026529