A Rigid Object Detection Model Based on Geometric Sparse Representation of Profile and Its Hierarchical Detection Algorithm
Lin Shu Yu · Acta Automatica Sinica · 2015
The profile of rigid objects has the geometrical characteristic and is insusceptible to illumination, texture or color. In this paper, a hierarchical detection algorithm for ridge objects based on geometric sparse representation of profile is presented. In the framework of part-based model(PBM), the object profile is automatically divided into geometrical parts by the sparse representation using the matching pursuit algorithm. To describe the spatial relationship of the geometrical parts, an ordered chain-like structure is constructed according to the order of the matching degree of the parts and the object profile. With the ordered chain-like structure, the detection range is gradually shrunk at each hierarchy. The final salient map of the object is the weighted summation of the parts salient maps, and the weights are defined as the matching degrees. The simulation on the PASCAL datasets shows that the proposed method outperforms the existing models in rigid objects detection, and saves 60 % to 90 % detection time compared to the state-of-art methods.