基于改进的单高斯背景模型运动目标检测算法
[1] 张玲, 陈丽敏, 何伟, 等. 基于视频的改进帧差法在车流量检测中的应用[J]. 重庆大学学报(自然科学版), 2004, 27(5): 31-33.
Zhang Ling, Chen Limin, He Wei, et al.. Application of an improved frame-difference method based on video in traffic flow measurement[J]. Journal of Chongqing University (Nature Science), 2004, 27(5): 31-33.
[2] 王劲松, 颜益安, 魏法杰. 利用背景高斯核密度估计的运动目标检测方法[J]. 红外与激光工程, 2009, 38(2): 373-376.
Wang Jinsong, Yan Yi′an, Wei Fajie. Moving object detection method using background Gaussian kernel density estimation[J]. Infrared and Laser Engineering, 2009, 38(2): 373-376.
[3] 胡觉晖, 李一民, 潘晓露. 改进的光流法用于车辆识别与跟踪[J]. 科学技术与工程, 2010, 10(23): 5814-5817.
Hu Juehui, Li Yimin, Pan Xiaolu. An improved optical flow algorithm in vehicle identification and tracking[J]. Science Technology and Engineering, 2010, 10(23): 5814-5817.
[4] 夏伟才, 曾致远. 一种基于卡尔曼滤波的背景更新算法[J]. 计算机技术与发展, 2007, 17(10): 134-136.
Xia Weicai, Zeng Zhiyuan. Background update algorithm based on Kalman filtering[J]. Computer Technology and Development, 2007, 17(10): 134-136.
[5] 卢清华, 吴志伟, 范彦斌. 基于混合高斯模型的运动车辆检测方法[J]. 光电子·激光, 2013, 24(4): 751-757.
Lu Qinghua, Wu Zhiwei, Fan Yanbin. An improved mobile vehicle detection method based on Gaussian mixture model[J]. Journal of Optoelectronics·Laser, 2013, 24(4): 751-757.
[6] 朱华生, 叶军. 基于改进高斯模型的车流量检测算法[J]. 激光与红外, 2013, 43(10): 1180-1183.
Zhu Huasheng, Ye Jun. Adaptive vehicle detection and traffic statistics algorithm based on improved Gaussian model[J]. Laser & Infrared, 2013, 43(10): 1180-1183.
[7] Y Z Cheng. Mean shift, mode seeking, and clustering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(8): 790-799.
陈银, 任侃, 顾国华, 钱惟贤, 徐福元. 基于改进的单高斯背景模型运动目标检测算法[J]. 中国激光, 2014, 41(11): 1109002. Chen Yin, Ren Kan, Gu Guohua, Qian Weixian, Xu Fuyuan. Moving Object Detection Based on Improved Single Gaussian Background Model[J]. Chinese Journal of Lasers, 2014, 41(11): 1109002.