A real-time object recognition system on cell broadband engine

Authors:
Hiroki Sugano;Ryusuke Miyamoto
Affiliations:
Dept. of Communications and Computer Engineering, Kyoto University, Kyoto, Japan;Dept. of Information Systems, Nara Institute of Science and Technology, Ikoma, Nara, Japan
Venue:
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Year:
2007

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Abstract

Accurate object recognition based on image processing is required in embedded applications, where real-time processing is expected to incorporate accurate recognition. To achieve accurate real-time object recognition, an accurate recognition algorithm that can be quickened by parallel implementation and a processing system that can execute such algorithms in real-time are necessary. In this paper, we implemented an accurate recognition scheme in parallel that consists of boosting-based detection and histogram-based tracking on a Cell Broadband Engine (Cell), one of the latest high performance embedded processors. We show that the Cell can achieve real-time object recognition on QVGA video at 22 fps with three targets and 18 fps with eight targets. Furthermore, we constructed a real-time object recognition system using SONYR® Playstation 3, one of the most widely used Cell platforms, and demonstrated face recognition with it.