Abstract
The paper proposes a method of allocation of cognitive resources for real-time multiple object recognition in robot vision. In human beings and even high-performace computers, recognizable number of objects is limited at a time, since cognitive and computational resources are limited. For robot vision, real-time distribution of computational resources is effective for recognition of multiple objects in dynamical changing environment. In the proposed method, recognition process is performed by model-based matching using Genetic Algorithm (GA). Positions of object models are represented by the genes of GA. The individuals of GA are allocated for recognizing multiple landmarks efficiently depending on the situation and priority of the object recognition. The proposed method improves recognition rate of multiple objects.
