Abstract
We propose a bio-inspired reconfigurable tracking camera system using FPGAs. In the system, a wide-lens camera captures an entire image, while a zoom-lens camera tracks a target in the image and magnifies it. In the current system, a probabilistic neural network (PNN) and mosaic processing are used for the image recognition and preprocessing, respectively. Thanks to the FPGA-based design, not only the PNN and the mosaic processing, but also other recognition and preprocessing algorithms can be implemented onto the system to adapt various images and targets.
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This work was presented in part at the 11th International Symposium on Artificial Life and Robotics, Oita, Japan, January 23–25, 2006
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Yamaguchi, Y., Yasunaga, M., Hayashi, K. et al. A bio-inspired tracking camera system. Artif Life Robotics 11, 128–134 (2007). https://doi.org/10.1007/s10015-006-0414-8
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DOI: https://doi.org/10.1007/s10015-006-0414-8