Multiple pedestrians recognition using hybrid GA for driving assistance system

Authors:
H. Suzuki;M. Minami
Affiliations:
Department of Mechanical Engineering, Fukui National College of Technology, Geshi, Sabae, Fukui, Japan;Faculty of Engineering, University of Fukui, Fukui, Japan
Venue:
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Year:
2006

Citing 3
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Abstract

This study proposes a method of recognizing multiple pedestrians in real time using a car-mounted camera, as a basic technology for the driving assistance system. We employed a hybrid GA (Genetic Algorithm) based on selective attention, which is the human visual function used to reduce processing load, to search for the position of pedestrians in input image. The hybrid GA used random searching as a rough, preliminary search of the area, then used an improved GA to carefully search the target possibilities. A real-time experiment on the recognition of multiple pedestrians in dynamic images obtained from a car-mounted camera was used to verify the effectiveness of the proposed method.