关键词: 显著性, 运动目标, 检测, 三帧差分, 动态背景

Abstract: Moving objects detection in image sequence is a crucial process in lots of computer vision applications. Although many approaches were proposed in past decades, dynamic background caused by camera movement, illumination changes and etc. in real scenes makes it a challenging task, especially when detecting spatiotemporal salient moving objects which is more meaningful in later processing. Inspired by the saliency detection in still image, a new method based on bottom-up and top-down visual computing model to obtain spatiotemporal salient moving object detection is proposed. Firstly, the algorithm detects the spatial saliency of image sequence, then, time dimension is added by applying the optimized method of three-frame difference to detect temporal saliency of moving object. So, the perspective of detecting salient object is transferred from the saliency map in still image to spatiotemporal context. Experimental results and analysis show that the new algorithm is more robust than lots of algorithms with the ability to detect spatiotemporal salient moving object in dynamic background.

Key words: saliency, moving object, detection, three-frame difference, dynamic background