Object-oriented motion estimation and segmentation in image sequences
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摘要
This contribution presents a method for segmenting video scenes hierarchically into several differently moving objects and subobjects. To this end, both contour and texture information from the single images and information from successive images is used to split up a scene into various objects. Furthermore, each of these objects is characterized by a transform h (x,T) with a parameter vector T which implicitely describes the surface shape and the three-dimensional motion of the objects in the scene. In order to estimate T of these transforms, an efficient algorithm is introduced. Thus, we obtain an object-oriented segmentation and a prediction of the image contents from one image to the next, which can be used in low bit-rate image coding.
论文关键词:Model-based image analysis,motion estimation,image sequence analysis,image segmentation
论文评审过程:Received 6 December 1989, Revised 23 March 1990, Available online 13 June 2003.
论文官网地址:https://doi.org/10.1016/0923-5965(91)90028-Z