Real-Time Non-Background Motion-Based Object Detection in DSP Implementation and Application for People Counting

• Main Authors: Yi-Shun Kao, 高義舜
• Other Authors: Daw-Tung,Lin
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/53741289358190377775

碩士 === 國立臺北大學 === 電機工程研究所 === 98 === To ensure public and private safety and security, the demand of intelligent video surveillance has become overwhelmingly increasing. One of the fundamental and important processes of the surveillance system is motion detection especially under very complex situations. The objective of this thesis is to present a non-background motion based object detection algorithm, and to implement the proposed algorithm on a low-cost DSP platform and to extend it to the application of people counting. The proposed motion detection method convolves the estimation of the appointed motion with three step search and motion analysis by a novel motion vector analysis algorithm to detect moving objects passing through a pre-defined gate along the desired direction. We further improve and optimize this motion detection algorithm, and then implement it on TI Davinci DM6446 and DM6437 DSP EVM boards. Besides, in the last part for this thesis shows the extended application of people counting on PC by this algorithm along with 3 successive-frames differencing method and others. The experimental results reveal that the final system works in real-time and performs excellent correct detection accuracy.