Abstract. This paper proposes implementation of CENTRIST-based pedestrian detection in embedded environments. Although a considerable number of pedestrian detection algorithms have been proposed, they are not suitable for implementation in embedded environments. In this paper proposes a CENTRIST-based pedestrian detection method which combines census transform and histogram, instead of the HOG method, which is more complicated. An Aldebaran board (300MHz) was used for implemntation of the algorithm in embedded enviornments, and the 512x360 pixel input image was used. The implemented algorithm demonstrated performance of 0.7 frame per second.

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This paper describes Mocha, an open mobile S/W platform and application developed by Samsung Electronics.Mocha's key features are its efficiency (it fits in regular phones), its portability (it covers different stack/OS/chipsets for CDMA, EV-DO, GSM/GPRS, and UMTS), its modularity and configurability (it meets customers' varying needs), its extensibility (it can be adapted to include new features and interfaces), its interoperability based on de-facto standards such as OMA, 3GPP, 3GPP2, CDG; and its security (it can withstand the attack of malicious applications). Among these key features, in this paper, we outline the multimedia messaging service (MMS) that inspired this system and then describe its design, architecture, and prototype implementation.

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