UM
Differential trajectory tracking with automatic learning of background reconstruction
Fu W.; Zhou J.; Liu S.; Ma M.; Ma Y.
2016-11-01
Source PublicationMultimedia Tools and Applications
ISSN15737721 13807501
Volume75Issue:21Pages:13001-13013
AbstractNowadays, 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.
KeywordAutomatic learning Background reconstruction Direction Real-time Trajectory tracking
DOI10.1007/s11042-014-2391-6
URLView the original
Language英語
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Cited Times [WOS]:5   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
AffiliationInner Mongolia University China
Recommended Citation
GB/T 7714
Fu W.,Zhou J.,Liu S.,et al. Differential trajectory tracking with automatic learning of background reconstruction[J]. Multimedia Tools and Applications,2016,75(21):13001-13013.
APA Fu W.,Zhou J.,Liu S.,Ma M.,&Ma Y..(2016).Differential trajectory tracking with automatic learning of background reconstruction.Multimedia Tools and Applications,75(21),13001-13013.
MLA Fu W.,et al."Differential trajectory tracking with automatic learning of background reconstruction".Multimedia Tools and Applications 75.21(2016):13001-13013.
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