基于视频跟踪的图像滤波算法分析  

Analysis of Image Filtering Algorithm Based on Video Tracking

作　　者：邱道尹[1] 谢俊明[1] 王方[1] 

机构地区：[1]华北水利水电学院,河南郑州450011

出　　处：《华北水利水电学院学报》2010年第4期101-103,共3页North China Institute of Water Conservancy and Hydroelectric Power

摘　　要：为寻求解决视频跟踪系统中复杂背景干扰问题的方法,综述了图像滤波算法中的一些基本算法,分析了图像滤波中的一些经典算法,并讨论了混合滤波方法,指出混合图像滤波方法是目前算法发展的趋势.The video tracking issue is the hot topic in the field of computer vision. A problem in this field is that there are many uncertain interferences to the tracked aim under the complex environment that lead weak robustness of the tracking system. Then many filtering algorithm methods are used to eliminate these interferences in order to obtain a good tracking result. The thesis briefly introduces some basic algorithm methods in the image filtering algorithms, and some classic filtering algorithms are discussed. A mixed filtering method is discussed as the solution to complex background interferences in the video tracking system.

关 键 词：滤波算法 视频跟踪 复杂背景 神经网络算法 遗传算法 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]