Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Customizing Multiprocessor Implementation of an Automated Video Surveillance System | Hindawi Publishing Corporation EURASIP Journal on Embedded Systems Volume 2006 Article ID 45758 Pages 1-12 DOI ES 2006 45758 Customizing Multiprocessor Implementation of an Automated Video Surveillance System Gary Wang Zoran Salcic and Morteza Biglari-Abhari Department of Electrical and Computer Engineering University of Auckland Private Bag 92019 Auckland 1142 New Zealand Received 11 December 2005 Revised 4 July 2006 Accepted 12 July 2006 Recommended for Publication by Leonel Sousa This paper reports on the development of an automated embedded video surveillance system using two customized embedded RISC processors. The application is partitioned into object tracking and video stream encoding subsystems. The real-time object tracker is able to detect and track moving objects by video images of scenes taken by stationary cameras. It is based on the block-matching algorithm. The video stream encoding involves the optimization of an international telecommunications union ITU -T baseline video encoder for quarter common intermediate format QCIF and common intermediate format CIF resolution images. The two subsystems running on two processor cores were integrated and a simple protocol was added to realize the automated video surveillance system. The experimental results show that the system is capable of detecting tracking and encoding QCIF and CIF resolution images with object movements in them in real-time. With low cycle-count low-transistor count and low-power consumption requirements the system is ideal for deployment in remote locations. Copyright 2006 Gary Wang et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Recent advances of computer technology have made realtime automated video surveillance possible. Automated video surveillance can monitor large areas with .
