IMPLEMENTATION OF REAL TIME PARTICLE FILTER BASED TRACKING ALGORITHMS ON BEAGLEBOARD-XM

Particle Filter based Tracking has been a well exploited area of research. This paper discusses about the development and realization of intelligent computer vision based target tracking algorithms on BeagleBoard-xM ARM based embedded platform. The system tracks moving targets at real-time. The integration level in the embedded platform is given the highest significance throughout the design. Integrating target tracking algorithms on an embedded platform have many real-world applications, such as robotics, surveillance, human-computer interaction applications, etc. Different Variations in the tracking algorithm have been tested and their accuracy analysis has been presented in this paper.

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