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- W1995582561 abstract "A technique to separate images of non-stationary from stationary components in a TV-frame sequence of a real world scene had previously been reported [1]. Using an approach related to fuzzy set theory, this technique has been significantly improved. Analyzing TV-frames representing a downtown street intersection for one second, bitmasks corresponding to images of a car and a pedestrian as well as their trajectories have been extracted from this sequence - without using scene specific knowledge about the moving objects or the stationary scene components. Similar results have been obtained for other TV-frame sequences. This approach may contribute to an algorithmic solution for the peripheral vision problem, i.e. to detect a moving object in the field of view, and for the attention focussing problem, i.e. to decide which part of the images in a sequence to investigate in detail." @default.
- W1995582561 created "2016-06-24" @default.
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- W1995582561 date "1977-12-01" @default.
- W1995582561 modified "2023-09-25" @default.
- W1995582561 title "Analyzing a real world scene sequence using fuzziness" @default.
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- W1995582561 doi "https://doi.org/10.1109/cdc.1977.271517" @default.
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