一种基于细胞神经网络的视频运动对象分割的研究  

A Video Motion Object Segmentation Research Based on Cellular Neural Network

作　　者：蒋文艳[1] 胡桂明[1] 曾敏[1] 

机构地区：[1]广西大学电气工程学院,广西南宁530004

出　　处：《计算机与现代化》2007年第5期95-97,共3页Computer and Modernization

摘　　要：针对目前大多数视频分割算法难以满足实时性要求的缺点,本文将具有很强并行处理能力并具有集成特性的CNN细胞神经网络应用到视频对象分割当中,提出了一种基于细胞神经网络的视频运动对象分割算法,并通过仿真实验验证了其可行性。In allusion to the shortcoming of actual most video segmentation methods are difficult to satisfy real time request, cellular neural network （CNN）, which has strong parallel processing ability and is easy for hardware implementation, is applied to video segmentation. In the paper,a video motion object segmentation algorithm based on CNN is presented, and its experimental results on video sequences confirm that the proposed algorithm is feasible.

关 键 词：CNN 细胞神经网络 运动对象 视频分割 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]