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| To prevent moving shadows being misclassiied as moving objects or parts of moving objects, this paper presents an explicit method for detection of moving cast shadows on a dominating scene background. Those shadows are generated by objects moving between a light source and the background. Moving cast shadows cause a frame diierence between two succeeding(More)
processor fuses the intermediate results; a postprocessor further refines the final segmentation output. The results of the current AM are satisfactory; it is expected that there will be further improvements of the AM within the COST 211 project.
An algorithm for automatic, noise robust 2D shape estimation of moving objects in video sequences considering a moving camera is presented. Such algorithms are required for object–based coding techniques like the upcoming ISO/MPEG–4 standard. In a first step, a possibly apparent camera motion is estimated and compensated. By the second step, a possibly(More)
An algorithm for automatic, noise robust segmentation of moving objects in image sequences is presented. Such algorithms are required for object–based coding techniques like the upcoming ISO/MPEG–4 standard. In a first step, a mask of changed image areas is estimated by a local thresholding relaxation technique. Then, areas of uncovered background are(More)
In this paper we describe an interactive video object segmentation tool developed in the framework of the ACTS-AC098 MOMUSYS project. The Video Object Generator with User Environment (VOGUE) combines three different sets of automatic and semi-automatic tools (spatial segmentation, object tracking and temporal segmentation) with general purpose tools for(More)
The objective evaluation of 2D-shape estimation results for moving objects in a video sequence is still an open problem. First approaches in the literature evaluate the spatial accuracy and the temporal coherency of the estimated 2D object shape. Thereby, it is not distinguished between several estimation errors located around the object contour and a few,(More)
The general philosophy of COST projects is introduced before narrowing the focus to the COST 211 series. For more than 20 years COST 211 has been concerned with image coding and compression using redundancy removal techniques. Within COST 211ter an Analysis Model was developed for the automatic and semi-automatic segmentation of motion video and significant(More)
A generic video analysis system for supervised and unsupervised segmentation is described. The idea behind the presented concept is to integrate different advanced segmentation techniques to obtain a robust, efficient and modular segmentation system for natural video and still images. The system entails several independent modules. Each one of these modules(More)
In this paper an algorithm for 2D shape estimation of moving objects is proposed, which reduces the estimation error compared to the ISO/MPEG-4 reference. The improvement is achieved by four approaches: firstly, the memory for object masks is motion compensated. Secondly, the robustness against camera noise is enhanced due to averaging the noise in(More)
This paper discusses the usefulness of a partition-based image representation in the context of user-assisted segmentation, and compares it with the two other most common image representations in this framework: pixel-based and transition-based. Partition-based image representations allow user-interaction at the region level, which is a very natural and(More)