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View all- Itano RKoita T(2022)Evaluation of the effectiveness of a crowdsourcing-based crime detection systemIEICE Communications Express10.1587/comex.2022XBL009911:9(607-611)Online publication date: 1-Sep-2022
Surveillance video anomaly detection is to detect events that rarely or never happened in a certain scene. The generation error (GE)-based methods exhibit excellent performances on this task. They firstly train a generative neural ...
Many works have been proposed on detecting individual anomalies in crowd scenes, i.e., human behaviors anomalous with respect to the rest of the behaviors. In this paper, we introduce a new concept of contextual anomaly into the field of crowd analysis, ...
Video surveillance plays a crucial role in improving people's well-being and reducing social crime rates. In order to assist observers to improve the efficiency of surveillance, a large number of scholars have used deep learning to construct models for ...
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