Finding unexplained activities in video
作者： Fabio Persia , Antonio Picariello , Massimiliano Albanese , V. S. Subrahmanian , Cristian Molinaro
DOI: 10.5591/978-1-57735-516-8/IJCAI11-274
关键词:
摘要: Consider a video surveillance application that monitors some location. The knows set of activity models (that are either normal or abnormal both), but in addition, the wants to find segments unexplained by any known -- these may correspond activities for which no previous model existed. In this paper, we formally define what it means given segment be (totally partially) w.r.t. and probability threshold. We develop two algorithms - FindTUA FindPUA identify Totally Partially Unexplained Activities respectively, show both use important pruning methods. report on experiments with prototype implementation showing run efficiently accurate.
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sci-hub.st 参考文章(9)
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