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Hierarchical Template Matching for Robust Visual Tracking with Severe Occlusions 被引量:1

Hierarchical Template Matching for Robust Visual Tracking with Severe Occlusions
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摘要 To tackle the problem of severe occlusions in visual tracking, we propose a hierarchical template-matching method based on a layered appearance model. This model integrates holisticand part-region matching in order to locate an object in a coarse-to-fine manner. Furthermore, in order to reduce ambiguity in object localization, only the discriminative parts of an object's appearance template are chosen for similarity computing with respect to their cornerness measurements. The similarity between parts is computed in a layer-wise manner, and from this, occlusions can be evaluated. When the object is partly occluded, it can be located accurately by matching candidate regions with the appearance template. When it is completely occluded, its location can be predicted from its historical motion information using a Kalman filter. The proposed tracker is tested on several practical image sequences, and the experimental results show that it can consistently provide accurate object location for stable tracking, even for severe occlusions. To tackle the problem of severe occlusions in visual tracking, we propose a hierarchical template-matching method based on a layered appearance model. This model integrates holistic- and part-region matching in order to locate an object in a coarse-to-fine manner. Furthermore, in order to reduce ambiguity in object localization, only the discriminative parts of an object' s appearance template are chosen for similarity computing with respect to their cornerness measurements. The similarity between parts is computed in a layer-wise manner, and from this, occlusions can be evaluated. When the object is partly occluded, it can be located accurately by matching candidate regions with the appearance template. When it is completely occluded, its location can be predicted from its historical motion information using a Kalman filter. The proposed tracker is tested on several practical image sequences, and the experimental results show that it can consistently provide accurate object location for stable tracking, even for severe occlusions.
出处 《ZTE Communications》 2012年第4期54-59,共6页 中兴通讯技术(英文版)
基金 supported by the Aeronautical Science Foundation of China under Grant 20115169016 supported in part by the technique cooperation project of ZTE on Intelligent Video Analysis in 2012
关键词 模板匹配 视觉跟踪 相似度计算 鲁棒 遮挡 卡尔曼滤波器 模型集成 精确定位 visual tracking hierarchical template matching layeredappearance model occlusion analysis
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