Learning scene entries and exits using coherent motion regions

Authors:
Matthew Nedrich;James W. Davis
Affiliations:
Dept. of Computer Science and Engineering, Ohio State University, Columbus, OH;Dept. of Computer Science and Engineering, Ohio State University, Columbus, OH
Venue:
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Year:
2010

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Abstract

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.