Publication: Retinal Ganglion Cell Software and FPGA Implementation for Object Detection and Tracking
Retinal Ganglion Cell Software and FPGA Implementation for Object Detection and Tracking
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Moeys, D. P., Delbruck, T., Rios-Navarro, A., & Linares-Barranco, A. (2016). Retinal Ganglion Cell Software and FPGA Implementation for Object Detection and Tracking. Proceedings of the IEEE International Conference on Circuits and Systems, 1434–1437. https://doi.org/10.1109/ISCAS.2016.7527520
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This paper describes the software and FPGA implementation of a Retinal Ganglion Cell model which detects moving objects. It is shown how this processing, in conjunction with a Dynamic Vision Sensor as its input, can be used to extrapolate information about object position. Software-wise, a system based on an array of these of RGCs has been developed in order to obtain up to two trackers. These can track objects in a scene, from a still observer, and get inhibited when saccadic camera motion happens. The entire processing takes on aver
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- Moeys, Diederik Paul
- Delbruck, Tobias
- Rios-Navarro, Antonio
- Linares-Barranco, Alejandro
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Moeys, D. P., Delbruck, T., Rios-Navarro, A., & Linares-Barranco, A. (2016). Retinal Ganglion Cell Software and FPGA Implementation for Object Detection and Tracking. Proceedings of the IEEE International Conference on Circuits and Systems, 1434–1437. https://doi.org/10.1109/ISCAS.2016.7527520
