Tracking and data association
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D morphological segmentation and motion estimation for image sequences
Signal Processing - Special issue on mathematical morphology and its applications to signal processing
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
The role of analysis in content-based video coding and indexing
Signal Processing - Video segmentation for content-based processing manipulation
Motion Segmenation and Depth Ordering Based on Morphological Segmentation
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
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ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Spatio-temporal video search using the object based video representation
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Tracking areas of interest for content-based functionalities in segmentation-based video coding
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
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Considering the currently available methods for the motion analysis of video objects, we notice that the topological constraint on homogeneous motion is usually ignored in piecewise methods, or improperly imposed by blocks that do not have physical correspondence. In this paper we address the idea of area-based parametric motion estimation with spatial constraint involved, in order that the semantic segmentation and tracking of non-rigid object can be undertaken in interactive environment, which is the center demand of applications such as MPEG-4/7 or content-based video retrieval. The estimation of global motion and occlusion can also be computed through the tracking of background areas. Besides, based on the proposed hierarchical robust framework, the accurate motion parameters between correspondent areas can be obtained and the computational efficiency is improved remarkably.