Papers & Presentations
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Learning Scene Entries and Exits Using Coherent Motion Regions
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Proceedings of the 6th International Symposium on Visual Computing
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December 2010
We present a novel framework to reliably learn scene entry and exit locations using coherent motion regions formed by weak tracking data. We construct "entities" from weak tracking data at a frame level and then track the entities through time, producing a set of consistent spatio-temporal paths. Resultant entity entry and exit observations of the paths are then clustered and a reliability metric is used to score the behavior of each entry and exit zone. We present experimental results from various scenes and compare against other approaches.
