Results 131 to 140 of about 107,551 (188)

Anomalous Event Sequence Detection

IEEE Intelligent Systems, 2021
Anomaly detection has been widely applied in modern data-driven security applications to detect abnormal events/entities that deviate from the majority. However, less work has been done in terms of detecting suspicious event sequences/paths, which are better discriminators than single events/entities for distinguishing normal and abnormal behaviors in ...
Boxiang Dong, Zhengzhang Chen, Lu-An Tang, Haifeng Chen, Hui Wang, Kai Zhang, Ying Lin, Zhichun Li   +7 more
openaire   +1 more source

Trajectory-Based Anomalous Event Detection

IEEE Transactions on Circuits and Systems for Video Technology, 2008
During the last years, the task of automatic event analysis in video sequences has gained an increasing attention among the research community. The application domains are disparate, ranging from video surveillance to automatic video annotation for sport videos or TV shots.
PICIARELLI, Claudio, MICHELONI, Christian, FORESTI, Gian Luca   +2 more
openaire   +1 more source

Anomalous Sound Event Detection Based on WaveNet

2018 26th European Signal Processing Conference (EUSIPCO), 2018
This paper proposes a new method of anomalous sound event detection for use in public spaces. The proposed method utilizes WaveNet, a generative model based on a convolutional neural network, to model in the time domain the various acoustic patterns which occur in public spaces.
Tomoki Hayashi, Tatsuya Komatsu, Reishi Kondo, Tomoki Toda, Kazuya Takeda   +4 more
openaire   +1 more source

Anomalous video event detection using spatiotemporal context

Computer Vision and Image Understanding, 2011
Compared to other anomalous video event detection approaches that analyze object trajectories only, we propose a context-aware method to detect anomalies. By tracking all moving objects in the video, three different levels of spatiotemporal contexts are considered, i.e., point anomaly of a video object, sequential anomaly of an object trajectory, and ...
Jiang, Fan, Yuanc, Junsong, Tsaftaris, Sotirios A., Katsaggelos, Aggelos K.   +3 more
openaire   +1 more source

On-line trajectory clustering for anomalous events detection

Pattern Recognition Letters, 2006
In this paper, we propose a trajectory clustering algorithm suited for video surveillance systems. Trajectories are clustered on-line, as the data are collected, and clusters are organized in a tree-like structure that, augmented with probability information, can be used to perform behaviour analysis, since it allows the identification of anomalous ...
PICIARELLI, Claudio, FORESTI, Gian Luca
openaire   +2 more sources

One-Class SVM Based Approach for Detecting Anomalous Audio Events

2014 International Conference on Intelligent Networking and Collaborative Systems, 2014
The last generation automated security and surveillance systems call for new and advanced capabilities to automatically and reliably recognize suspicious events or activities in the monitored environments on the base of a real-time and combined analysis of different multimedia streams.
Francesco Aurino, Mariano Folla, Francesco Gargiulo, MOSCATO, VINCENZO, PICARIELLO, ANTONIO, SANSONE, CARLO   +5 more
openaire   +3 more sources