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Visual System Based on Artificial Retina for Motion Detection

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4 Author(s)
Francisco Barranco ; Dept. of Comput. Archit. & Technol., Univ. of Granada, Granada ; Javier DÍaz ; Eduardo Ros ; BegoÑa del Pino

We present a bioinspired model for detecting spatiotemporal features based on artificial retina response models. Event-driven processing is implemented using four kinds of cells encoding image contrast and temporal information. We have evaluated how the accuracy of motion processing depends on local contrast by using a multiscale and rank-order coding scheme to select the most important cues from retinal inputs. We have also developed some alternatives by integrating temporal feature results and obtained a new improved bioinspired matching algorithm with high stability, low error and low cost. Finally, we define a dynamic and versatile multimodal attention operator with which the system is driven to focus on different target features such as motion, colors, and textures.

Published in:

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)  (Volume:39 ,  Issue: 3 )