西华大学学报（自然科学版）2012，Vol.31Issue(2)：9-13,5.
基于混合高斯模型和GPU的车辆闯红灯快速检测算法及实现
Fast Detection Algorithm and Its Implementation for Vehicles Red-light Running Based on Gaussian Mixture Model and GPU
摘要
Abstract
In order to accurately and rapidly detect vehicles red-light running, this paper presents vehicles red-light running detec-tion algorithm based on gaussian mixture model and GPU. First background image is constructed by mean-time algorithm from the video data during the first red light, and then the background image is used to initialize Gaussian mixture model parameters, and the gaussian mixture model is employed to test vehicle movement. In order to realize the real-time detection, the authors design and implement vehi-cles red-light running detection algorithm with GPU parallel computing. Experimental results show that it overcomes the problem that · initialization parameters in Gaussian mixture model are unreasonably selected in real surveillance video and speeds up the convergence rate of Gaussian mixture model and the improved algorithm proposed in this paper is effective and real time.关键词
车辆闯红灯检测/混合高斯模型/GPU并行计算/时间均值法Key words
detection for vehicles red-light running/ gaussian mixture model/ GPU parallel computing/ mean-time algorithm分类
信息技术与安全科学引用本文复制引用
付诚,贾年..基于混合高斯模型和GPU的车辆闯红灯快速检测算法及实现[J].西华大学学报（自然科学版）,2012,31(2):9-13,5.基金项目
四川省网络智能信息处理高校重点实验室(SGXZD1002-10) （SGXZD1002-10）
西华大学研究生创新基金项目(Ycjj201119) （Ycjj201119）
