SCoPE: Towards a Systolic Array for SVM Object Detection

This paper presents SCoPE (systolic chain of processing elements), a first step towards the realization of a generic systolic array for support vector machine (SVM) object classification in embedded image and video applications. SCoPE provides efficient memory management, reduced complexity, and efficient data transfer mechanisms. The proposed architecture is generic and scalable, as the size of the chain, and the kernel module can be changed in a plug and play approach without affecting the overall system architecture. These advantages provide versatility, scalability and reduced complexity that make it ideal for embedded applications. Furthermore, the SCoPE architecture is intended to be used as a building block towards larger systolic systems for multi-input or multi-class classification. Simulation results indicate real-time performance, achieving face detection at ~33 frames per second on an FPGA prototype.© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, in-cluding reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to serv-ers or lists, or reuse of any copyrighted component of this work in other works. C. Kyrkou and T. Theocharides, "SCoPE: Towards a Systolic Array for SVM Object Detection," in IEEE Embedded Systems Letters, vol. 1, no. 2, pp. 46-49, Aug. 2009. doi: 10.1109/LES.2009.2034709 https://www.ieee.org/publications_standards/publications/rights/rights_policies.html This work was supported in part by the Cyprus Research Promotion Foundation under contract ΤΠΕ/ΠΛΗΡΟ/0308(ΒΙΕ)/0