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基于图形处理器的可变形部件模型算法的并行化
引用本文:刘宝平,陈庆奎,李金静,刘伯成.基于图形处理器的可变形部件模型算法的并行化[J].计算机应用,2015,35(11):3075-3078.
作者姓名:刘宝平  陈庆奎  李金静  刘伯成
作者单位:1. 上海理工大学 光电信息与计算机工程学院, 上海 200093;2. 上海理工大学 管理学院, 上海 200093
基金项目:国家自然科学基金资助项目(60970012);高等学校博士学科点专项科研博导基金资助项目(20113120110008);上海重点科技攻关项目(14511107902);上海市工程中心建设项目(GCZX14014);上海智能家居大规模物联共性技术工程中心项目(GCZX14014);上海市一流学科建设项目(XTKX2012);沪江基金研究基地专项(C14001).
摘    要:目前目标识别领域,在人体检测中精确度最高的算法就是可变形部件模型(DPM)算法,针对DPM算法计算量大的缺点,提出了一种基于图形处理器(GPU)的并行化解决方法.采用GPU编程模型OpenCL,对DPM算法的整个算法的实现细节采用了并行化的思想进行重新设计实现,优化算法实现的内存模型和线程分配.通过对OpenCV库和采用GPU重新实现的程序进行对比,在保证了检测效果的前提下,使得算法的执行效率有了近8倍的提高.

关 键 词:可变形部件模型  图形处理器  OpenCL  人体检测  
收稿时间:2015-06-17
修稿时间:2015-07-20

Parallelization of deformable part model algorithm based on graphics processing unit
LIU Baoping,CHEN Qingkui,LI Jinjing,LIU Bocheng.Parallelization of deformable part model algorithm based on graphics processing unit[J].journal of Computer Applications,2015,35(11):3075-3078.
Authors:LIU Baoping  CHEN Qingkui  LI Jinjing  LIU Bocheng
Affiliation:1. College of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;2. College of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
Abstract:At present, in the field of target recognition, the highest accuracy algorithm is the Deformable Part Model (DPM) for human detection. Aiming at the disadvantage of large amount of calculation, a parallel solution method based on Graphics Processing Unit (GPU) was proposed. In this paper, with the GPU programming model of OpenCL, the details of the whole DPM algorithm were implemented by the parallel methods,and optimization of the memory model and threads allocation was made. Through the comparison of the OpenCV library and the GPU implementation, under the premise of ensuring the detection effect, the execution efficiency of the algorithm was increased by nearly 8 times.
Keywords:Deformable Part Model (DPM)                                                                                                                        Graphics Processing Unit (GPU)                                                                                                                        OpenCL                                                                                                                        human detection
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