![]() Lanze, Fabian ![]() ![]() ![]() in Proceedings of the 55th International IEEE Global Communications Conference (IEEE GLOBECOM 2012) (2012) Detailed reference viewed: 245 (12 UL)![]() ![]() Boehm, Franziska ![]() ![]() ![]() Scientific Conference (2012) Detailed reference viewed: 154 (1 UL)![]() Panchenko, Andriy ![]() ![]() in 18th ACM Computer and Communications Security (ACM CCS) Workshop on Privacy in the Electronic Society (WPES) (2011) Detailed reference viewed: 208 (0 UL)![]() Hommes, Stefan ![]() ![]() ![]() in 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011 (2011) This paper introduces a new approach to unsupervised detection of abnormal sequences of images in video surveillance data. We leverage an online object detection method and statistical process control ... [more ▼] This paper introduces a new approach to unsupervised detection of abnormal sequences of images in video surveillance data. We leverage an online object detection method and statistical process control techniques in order to identify suspicious sequences of events. Our method assumes a training phase in which the spatial distribution of objects is learned, followed by a chart-based tracking process. We evaluate the performance of our method on a standard dataset and have implemented a publicly available opensource prototype. [less ▲] Detailed reference viewed: 186 (5 UL) |
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