Deformable Object Tracking Based on Max-pooling Graph Matching

作者：Wang, Zhi Dan; Jiang, Jian Guo; Qi, Mei Bin

来源：Acta Electronica Sinica, 2017, 45(3): 704-711.

DOI：10.3969/j.issn.0372-2112.2017.03.030

• Dynamic graph
• Feature representation
• Geometric structure
• Graph matchings
• Graph-matching methods
• Over segmentation
• State-of-the-art methods
• Visual Tracking

This paper develops a novel deformable object tracking algorithm based on max-pooling graph matching, which can be applied in the scenes with large deformations and severe occlusions.The dynamic graph is built based on candidate parts extracted by over-segmentation method from searching area, namely feature representation of candidate parts and geometric structure between them.Based on max-pooling graph matching method, the matching relations between target parts and candidate parts are found to calculate the confidence map of target location.Considering both the support of holistic target and local parts, the optimal target location can be determined.Compared to state-of-the-art methods, experimental results on several deformable sequences demonstrate the effectiveness and robustness of the proposed method.

• 出版日期2017
• 单位合肥工业大学