20, 000-fps Visual Motion Magnification on Pixel-parallel Vision Chip

Junxian He, Xichuan Zhou, Yingcheng Lin, C. Sun, Cong Shi, N. Wu, Gang Luo
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引用次数: 3

Abstract

This paper proposes a pixel-parallel Eulerian Video Magnification (EVM) algorithm for vision chips. The proposed algorithm is optimized for the stereotyped programmable pixel-parallel array processor architecture favored by high-speed vision chips. We also propose an improved pixel-parallel array processor with alternative image border padding modes to satisfy various algorithm requirements. We implemented an FPGA prototype of an improved 128 × 128 pixel-parallel array processor to run the proposed optimized EVM algorithm with a 120 MHz clock. Experimental results show that our pixel-parallel system can magnify subtle motion clues at a very high speed up to 20, 000 frames per second (fps).
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像素并行视觉芯片上20000帧/秒的视觉运动放大
提出了一种用于视觉芯片的像素并行欧拉视频放大(EVM)算法。该算法针对高速视觉芯片青睐的可编程像素并行阵列处理器架构进行了优化。我们还提出了一种改进的像素并行阵列处理器,具有可选的图像边框填充模式,以满足各种算法要求。我们实现了一个改进的128 × 128像素并行阵列处理器的FPGA原型,以运行所提出的优化EVM算法,时钟为120 MHz。实验结果表明,我们的像素并行系统可以以高达每秒2万帧的速度放大细微的运动线索。
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