Hybrid structure hypergraph for online deformable object tracking

Recent advances in visual tracking field design part-based model to handle the deformation and occlusion challenges. Previous methods only consider the sole degree of dependencies (e.g., pairwise or high-order dependencies) between object parts in consecutive frames. However, the degree of dependencies of different object parts in consecutive frames are not consistent, especially when large deformation and occlusion happen. To that end, we design a hybrid structure hypergraph based tracker, which use a non-uniform hypergraph to model the dependencies among object parts. The tracking task is further formulated as the dense structures extracting problem on the non-uniform hypergraph, which is solved by an approximate algorithm efficiently. Several experiments are carried out on publicly available online deformable object tracking dataset, i.e., Deform-SOT dataset, to demonstrate the favorable performance of the proposed method against the state-of-the-art online tracking methods.