灰关联分析在视频运动目标检测中的应用

Application of Grey Relational Theory in Moving Object Detection from Video Sequences

由于运动图像和背景具有极大相似性,通过背景图像和运动图像之间关联程度的大小能够检测出运动目标,故提出一种基于灰关联分析的运动目标检测方法.在室内和室外不同光照场景下,通过固定摄像机捕获的视频图像序列中的运动车体和人体进行检测;选取适当的比较图像序列,对该序列和含有运动目标的视频图像作灰关联分析,以清楚、完整地提取出运动目标.该方法对背景的要求很低,对噪声的抑制能力强,可以在一定程度上抑制阴影的影响.

Based on the similarity between the present image and background images, a method based on grey relational theory is proposed to detect the moving objects from video sequences. The video sequences are captured by the fixed cameras under various illumination conditions of indoor and outdoor scenes. By appropriately choosing the comparative sequences, the grey relational degree between them and the present frame is computed and moving targets are viably detected. The proposed method is not exigent to the background image, is insensitive to noise and to some extent is also robust to occlusion.