【摘要】 提出了一种提取运动对象的新的视频序列分割算法。算法的核心是一个对象跟踪器,它利用一种基于对象行为的跟踪算法对多个非刚体目标有效地进行对象跟踪,并与后续帧进行匹配,然后采用一种基于运动相连成分的模型刷新方法对模型的每一帧进行刷新。初始的模型自动产生,再利用滤波技术滤除静止背景。最后,利用边界图像模型从序列中提取出视频对象平面(VOP) 。更多还原

【Abstract】 This paper presents a new automatic video sequence segmentation algorithm that extracts moving objects. The core of this algorithm is an object tracker that tracks multiple non-rigid objects using an appearance-based tracking method. The initial model is derived automatically and a new model update method based on the concept of the moving connected components is proposed. The stationary background is removed by a filtering technique. Finally, the VOPs are extracted from the edge image model sequence.更多还原