基于SW26010的运动目标检测的高效处理

Dong Xu, Junmin Wu, Yan Yin, Minggui Wang
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引用次数: 0

摘要

SW26010是由国家并行计算机工程研究中心研制的国产化处理器。它具有高并发性。SW26010打造的神威太湖之光系统多次登顶超级计算排行榜。高斯混合模型(GMM)是一种有效的运动目标提取方法,但传统的GMM对硬件要求高,不能满足实时性要求。本文提出了一种结合SW26010处理器的运动目标检测加速新方法。首先,我们将视频编解码器库FFMPEG移植到SW26010中,以支持视频流提取。其次,在单核组上提出滑动窗口机制,合理划分图像数据块;我们在主从内核之间创建了一个双缓冲区来隐藏通信延迟。我们进一步提高了多核心组之间的并行计算性能。最后,实验验证了该方法在实际应用中能够取得满意的性能加速效果。该设计方案在神威太湖之光系统的多处理器组上具有良好的可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Processing of Moving Target Detection Based on SW26010
SW26010 is a nationally-produced processor developed by the National Parallel Computer Engineering Research Center. It has high concurrency. The Sunway TaihuLight System built by SW26010 has reached the top of the super calculation ranking many times. The Gaussian mixture model (GMM) is an effective method for extracting moving objects, but the traditional GMM has high hardware requirements and cannot meet real-time requirements. In this paper, we propose a new moving object detection acceleration method combined with SW26010 processor. First, we transplante the video codec library FFMPEG to SW26010 to support video stream extraction. Next, a sliding window mechanism is proposed on the single-core group to reasonably divide the image data blocks. And we create a double buffer between the master and slave cores to hide the communication delay. Further we improve the computing performance in parallel between multi-core groups. Finally, the experimental verification shows that our method can achieve satisfactory performance acceleration in practical applications. This design scheme has good scalability on the multi-processor group of the Sunway TaihuLight System.
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