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FPGA implementation of PSO-based object tracking system using SSIM

机译:使用SSIM的基于PSO的对象跟踪系统的FPGA实现

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In this paper, we present implementation of object tracking system targeting video sequence based on Particle Swarm Optimization (PSO) using Structural SIMilarity index (SSIM) as PSO's fitness function on field programmable gate array (FPGA). The proposed algorithm's performance has been tested and evaluated over different video sequences, showing its adaption for tracking in real-time. After presenting PSO algorithm and SSIM index, we show how the system's architecture has been simplified for FPGA implementation and achieved better results than its software implementation counterpart.
机译:在本文中,我们介绍了基于粒子群优化(PSO)的以视频序列为目标的对象跟踪系统的实现,该算法使用结构相似指数(SSIM)作为现场可编程门阵列(FPGA)上的PSO适应度函数。所提出算法的性能已经在不同的视频序列上进行了测试和评估,显示了其对实时跟踪的适应性。在介绍了PSO算法和SSIM索引之后,我们展示了如何简化系统架构以进行FPGA实现并取得比其软件实现对手更好的结果。

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