视频监视中运动目标检测与识别方法

针对户外监视应用背景，提出了彩色图像差值模型，自适应阈值分割算法、图像形成学噪声滤除方法，实现了户外场景中运动目标的有效检测；对分割后的目标，撮不变矩特征，然后利用人工神经网络实现了运动目标责任制的快速识别。实验结果验证了上述方法的有效性。

Moving Object Detection and Recognition Method for Video Monitoring System

This paper first presents an efficient moving object detection method for outdoor surveillance environments. The presented method consists of a color image difference model, an adaptive thresholding method, and an image morphology filtering method. Moreover, by extracting shape invariant moment characteristics of object region, this paper also presents a BP neural network based object recognition method. Experimental results demonstrate that the proposed approach can detect and identify moving objects effectively for outdoor surveillance environments.