Event driven reconfigurable architecture for real-time multiple human motion tracking and profiling

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Conference Proceeding

Source Title

Proceedings of the First International Conference on Green Computing and The Second AUN/SEED-NET Regional Conference on ICT

Publication Date

2010

Abstract

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).

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Disciplines

Computer Engineering

Keywords

Adaptive computing systems; Motion detectors

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