Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Perceptual organization based computational model for robust segmentation of moving objects
Computer Vision and Image Understanding
Perceptual Grouping from Motion Cues Using Tensor Voting in 4-D
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Tracking 2D structures using perceptual organizational principles
ISCV '95 Proceedings of the International Symposium on Computer Vision
Models of bottom-up and top-down visual attention
Models of bottom-up and top-down visual attention
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We propose an empirical computational model for generating an interpretation of a video shot based on our proposed principle of perceptual prominence. The principle of perceptual prominence captures the key aspects of mise-en-scène required for interpreting a video scene. We present a novel approach for applying perceptual grouping principles to the spatio-temporal domain of video. Our spatio-temporal perceptual grouping scheme, applied on blob tracks, makes use of a specified spatio-temporal coherence model. A high level semantic interpretation of scenes is done using the mise-en-scène features and the perceptual prominence computed for the perceptual clusters.