计算机科学 ›› 2017, Vol. 44 ›› Issue (3): 36-37.doi: 10.11896/j.issn.1002-137X.2017.03.009
周艺华,王文东,陈宏彩,王婷,张常有
ZHOU Yi-hua, WANG Wen-dong, CHEN Hong-cai, WANG Ting and ZHANG Chang-you
摘要： 为了提高公安机关查找犯罪车辆的效率,提高车辆识别的效率很必要。据统计,提取兴趣区域(Region Of Interest,ROI)约占车型识别过程的60%,因此如何加速提取ROI过程尤其重要。首先,通过数据划分方法实现基本并行算法；然后,经过实验分析,在基本并行算法的基础上,精心设计预处理过程的分解方案,设置多队列缓冲区,减少共用缓冲区的线程数量和每个缓冲区互斥锁锁定的次数。实验证明,所提算法在双CPU 12核(支持超线程到24线程)的服务器上运行,相对于串行算法,实现了13.1x的加速比。
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