A NEW FRAMEWORK OF MOVING TARGET DETECTION AND TRACKING FOR UAV VIDEO APPLICATION
Unmanned aerial vehicle is a new platform for remote sensing, and the primary sensor of it is video camera. Video, also could be called dynamic image is the most important data format which obtained by unmanned aerial vehicle. The combination of video data and UAV provides a novel remote sensing pattern. Moving target detection and tracking is an important technique of video processing for its huge potential in military and other applications. The technique always contains three basic parts: motion compensation, motion detection and object tracking. Each part adopts kinds of technical methods to solve the problems in respective fields. The paper, based on the analysis of the algorithms related to the technology, presents a new framework of it. Different from other moving target detection and tracking frameworks, the framework performs a parallel processing among the three sections by including collaboration control and data capture modules. Comparing with other frameworks, it is more suitable to the UAV applications, because of its advantages such as transferring parameters instead of real data and offering interface to user or exterior system.
Image Processing Computer Vision Motion Compensation Motion Detection Object Tracking Process Modeling UAV Video
Wenshuai Yu Xuchu Yu Pengqiang Zhang Jun Zhou
Institute of Surveying and Mapping, 450052, Zhengzhou, Henan, China
国际会议
北京
英文
3199-3203
2008-07-03（万方平台首次上网日期，不代表论文的发表时间）