Abstract
For target recognition based on biologic vision, an application-specific stream SOC: MASA-MI is described in this paper. MASA-MI consists of several heterogeneous cores, and a stream accelerator core is used to accelerate matching image which consumes the most time in target recognition. We implemented it on Altera EP2S60 FPGA. Result shows the 166MHz MASA-MI provides a peak performance of 585 fps. MASA-MI’s performance is an order of magnitude higher than those of today’s DSPs such as the Texas Instruments TMS320DM642 (600MHz). On the other hand, the cost is far less than special purpose processors.
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Wu, N., Yang, Q., Wen, M., He, Y., Xun, C., Zhang, C. (2007). A Stream System-on-Chip Architecture for High Speed Target Recognition Based on Biologic Vision. In: Choi, L., Paek, Y., Cho, S. (eds) Advances in Computer Systems Architecture. ACSAC 2007. Lecture Notes in Computer Science, vol 4697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74309-5_25
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DOI: https://doi.org/10.1007/978-3-540-74309-5_25
Publisher Name: Springer, Berlin, Heidelberg
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