Object Modeling for Multicamera Correspondence Using Fuzzy Region Color Adjacency Graphs

In this paper, a novel moving object modeling suitable for multicamera correspondence is introduced. Taking into consideration the color and motion features of foreground objects in each independent video stream, our method segments the existing moving objects and constructs a graph-based structure to maintain the relational information of each segment. Using such graph structures reduces our correspondence problem to a subgraph optimal isomorphism problem. The proposed method is robust against various resolutions and orientations of objects at each view. Our system uses the fuzzy logic to employ a human-like color perception in its decision making stage in order to handle color inconstancy which is a common problem in multiview systems. The computational cost of the proposed method is made low to be applied in real-time applications. Also, it can solve the partial occlusion problem more precisely than the Meanshif occlusion solver by 15.7%.