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This paper focuses on tracking multiple vehicles in real-world traffic videos which is very challenging due to frequent interactions and occlusions between different vehicles. To address these problems, we fall back on superpixel which recently has received great attention in a wide range of vision problems, e.g. object segmentation, tracking and recognition, for its ability of capturing local appearance...
Multi-view vehicle detection and tracking in crossroads is of fundamental importance in traffic surveillance yet still remains a very challenging task. The view changes of different vehicles and their occlusions in crossroads are two main difficulties that often fail many existing methods. To handle these difficulties, we propose a new method for multi-view vehicle detection and tracking that innovates...
Background subtraction plays a key role in many surveillance systems. A good background subtractor should not only be able to robustly detect targets under different situations (e.g. moving and static), but also to adaptively maintain the background model against various influences (e.g. dynamic scenes and noises). This paper proposes a novel background modeling approach with these good characteristics...
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