Moving Object Recognition from Video Sequence Images Based on Wavelet Transform and Neural Network

摘要：

In this paper, we present a new method of moving object recognition from video images based on wavelet transform and neural network. We first separate the target moving object images from the video Sequence Images, then use the wavelet coefficients statistics as the feature description which can form the training set for the Neural Network. The experimental result shows that this method is practicability, feasibility and good precision.

关键词： Video Images Wavelet Transform Neural Network Recognition

作者: Kun Zhang Cuirong Wang

作者单位: Northeastern University at Qinhuangdao Qinhuangdao 066004, China

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 600-604

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）