Finding "Unexplained" Activities in Video
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1628-1633.
Abstract
Consider a video surveillance application that monitors some location. The application knows a set of activity models (that are either normal or abnormal or both), but in addition, the application wants to find video segments that are unexplained by any of the known activity models — these unexplained video segments may correspond to activities for which no previous activity model existed. In this paper, we formally define what it means for a given video segment to be unexplained (totally or partially) w.r.t. a given set of activity models and a probability threshold. We develop two algorithms – FindTUA and FindPUA – to identify Totally and Partially Unexplained Activities respectively, and show that both algorithms use important pruning methods. We report on experiments with a prototype implementation showing that the algorithms both run efficiently and are accurate.
@inproceedings{ijcai2011p274,
title = {Finding "Unexplained" Activities in Video},
author = {Albanese, Massimiliano and Molinaro, Cristian and Persia, Fabio and Picariello, Antonio and Subrahmanian, V. S.},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {1628--1633},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-274},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-274},
}
TY - CPAPER TI - Finding "Unexplained" Activities in Video AU - Albanese, Massimiliano AU - Molinaro, Cristian AU - Persia, Fabio AU - Picariello, Antonio AU - Subrahmanian, V. S. T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 1628 EP - 1633 DO - 10.5591/978-1-57735-516-8/IJCAI11-274 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-274 ER -Copied
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