Motion Object Tracking System Using Color-based Techniques

• Main Authors: Chun-Hung Chen, 陳俊宏
• Other Authors: 高成炎
• Format: Others
• Language: en_US
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/29838467368763573553

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 97 === Motion object tracking in real-time environments and videos is a popular topic in multimedia processing. Various related researches are proposed to handle particular cases in recent years. With the flourish of surveillance systems in the world, intelligent video surveillance systems became popular products to record activities of human. A video can be an evidence to guarantee someone as suspect in courts. To develop a robust tracking system we have to take care every part of this system, all techniques about image processing must meet our requirements like fast computation and adapting to dynamic environments. On-line computation is a critical problem to our algorithms. We proposed several modified color-based methods about background modeling, foreground detection, motion object modeling and matching to achieve the goal that tracking multiple objects in indoor and outdoor scenarios. If we adapt and propose multiple techniques of distinct bases such as shape, edge and feature point, it must take much more time than our system. In experimental settings, we can discriminate and track objects accurately as well as detect and deal with occlusions in all videos.