Abstract
In this paper we propose a real time (100 frames/sec) Region of Interest (ROI) detection algorithm based on the Integral Image calculation and its implementation on FPGA, while considering algorithm’s optimization and power consumption. This system is designed for an embedded system connected to a CCD sensor inserted on glasses for precise eye tracking purposes. The ROI detection permits to select the useful data for a precise eye tracker algorithm. Compared with the state-of-the-art methods, this architecture proves its efficiency considering the processing speed and the power consumption for data flow operations in real time. We also explore the possibility to handle the computation load by embedded processors in order to show that FPGAs are ten time more efficient when considering power dissipation.
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Amiel, F., Boubacar, B., Krishnamoorthy, A., Trocan, M., Swynghedauw, M. (2019). Real Time Region of Interest Determination and Implementation with Integral Image. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11684. Springer, Cham. https://doi.org/10.1007/978-3-030-28374-2_54
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DOI: https://doi.org/10.1007/978-3-030-28374-2_54
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