Real Time Robust Human Detection and Tracking System
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
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Recent developments in embedded systems open up a new realm of computer vision applications in surveillance and healthcare delivery, etc. However, such applications require high computational resources, which is challenging for embedded devices that are characterized by constrained processing power and limited memory capacity. In this paper we present a novel intelligent framework that enables building computer vision applications with optimal throughput and maintaining the performance of such applications at run-time.