Target Recognition in Mobile Robot Vision Systems via Neural Networks with Local Interconnections
نویسنده
چکیده
In the field of robotics real-time image processing can provide the information necessary for mobile robots to execute a task in indoor environment. In this paper the application of a simple neural network-based system to translation and scale-invariant object recognition in the artificial vision structure of a mobile robot is proposed. The suggested bio-inspired vision system is mainly constituted by an encoder and a neural associative memory. Bipolar images constitute the input to the neural associative memory, which performs the recognizing stage of the bio-inspired vision system. The capability of the proposed system to detect and recognize scaled and translated targets is investigated on suitable test situations. Key-Words: Neural Networks, Cellular Associative Memories, Artificial Vision Systems
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