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Digital video moving object segmentation using tensor voting: A non-causal, accurate approach
Motion based video segmentation is important in many video processing applications such as MPEG4. This thesis presents an exhaustive, non-causal method to estimate boundaries between moving objects in a video clip. It make use of tensor voting principles. The tensor voting is adapted to allow image...
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| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2014
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