Differential trajectory tracking with automatic learning of background reconstruction

作者：Fu, Weina; Zhou, Jiantao^*; Liu, Shuai; Ma, Ming; Ma, Yingdong

来源：Multimedia Tools and Applications, 2016, 75(21): 13001-13013.

DOI：10.1007/s11042-014-2391-6

• Trajectory tracking
• Background reconstruction
• Direction
• Automatic learning
• Real-time

Nowadays, trajectory tracking technology is widely used in many outdoor applications, such as intelligent traffic and video surveillance. However, most of trajectory-tracking technologies rely on a static background, which is hard to obtain in many situations. Obviously, these methods are out of action in the case of dynamic background. In this paper, a novel trajectory tracking method is presented, which is implemented with a new background reconstruction algorithm. Firstly, the background is assumed to be a blank scene. Then, the background is reconstructed by means of video detection that places moving objects in the scene. Finally, real-time trajectories of moving objects are computed based on the reconstructed background. Experimental results show its robustness and practicability even in a cluttered background.

• 出版日期2016-11
• 单位内蒙古大学