Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume 75, Issue 21, Pages 13001-13013Publisher
SPRINGER
DOI: 10.1007/s11042-014-2391-6
Keywords
Trajectory tracking; Background reconstruction; Direction; Automatic learning; Real-time
Categories
Funding
- National Natural Science Foundation of China [61262082, 61261019, 61461039]
- Chinese Ministry of Education [212025]
- Scientific Projects of Higher School of Inner Mongolia [NJZY13004]
- Natural Science Foundation of Inner Mongolia [2014BS0606]
- Inner Mongolia Science Foundation [2012JQ03]
- Enhancing Comprehensive Strength Foundation of Inner Mongolia University [14020202]
- Program of Higher-level talents of Inner Mongolia University [125130, 135103]
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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.
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