Event driven reconfigurable architecture for real-time multiple human motion tracking and profiling
Gokongwei College of Engineering
Electronics And Communications Engg
Proceedings of the First International Conference on Green Computing and The Second AUN/SEED-NET Regional Conference on ICT
Processing the image streams captured by a camera to track human movements, and to make estimation of human actions from 2D images, is a challenge in designing computational structures for real-time operations. Motion analysis involves high parallel-data and computation-intensive data processing making reconfigurable computing platform architectures highly suitable. In this study, we propose to develop an FPGA-based motion analysis system based on a coarse-grain reconfigurable architecture that integrates an image-event driven mechanism for the reconfiguration of the reconfigurable core. The proposed system will be implemented on Xilinx ML410 Embedded Development Board. An image sensor interfaced to a Virtex 4 FPGA development boards will provide the real-time video stream. This work may find application is the area of surveillance, intelligent ambient control and in the emerging domain of Social Signal Processing (SSP).
Llorente, C. A. (2010). Event driven reconfigurable architecture for real-time multiple human motion tracking and profiling. Proceedings of the First International Conference on Green Computing and The Second AUN/SEED-NET Regional Conference on ICT Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/8119
Adaptive computing systems; Motion detectors