Real-time Multiple Objects Image Tracking Based on Moving Edges Detection

• Main Authors: Yu-Jie Ciou, 邱裕傑
• Other Authors: Ya-Dung Pan
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/31000125840707333652

碩士 === 龍華科技大學 === 工程技術研究所 === 95 === This study is mainly to construct a real-time multiple objects image tracking system based on moving edges detection technique. The moving edges detection technique is utilized as the main detection rule, the moving target shifting method and background compensation method are also applied to solve the shortcoming of moving edges detection. This tracking system can find out the moving object correctly under a complicated environment, in addition, the template matching method is applied to search for multiple moving objects simultaneously, therefore, this system is suitable for more extensive situation.　The Back-Propagation Neural Network technology is utilized to compensate the gray level in template, and to solve the influence of unevenness of the luminance in image. Finally, the detected object position information is used for the control system to track or monitor the object movement. This whole real-time multiple objects image tracking system can be divided by the software and hardware. In software, a Visual Basic program is developed as the operation interfaces, and the Halcon image processing software library is applied as the image processing developing tool. In hardware, a color CCD camera with image acquisition card are used as the image source, and X-Y table with servo motors controlled by a motion control card are used as the movement tracking platform.