Anomaly analysis is an important component of any surveillance system. In recent years, it
has drawn the attention of the computer vision and machine learning communities. In this …

Video anomaly detection is important in various practical applications. This paper proposes
an unsupervised method for video anomaly detection. In the core of the method lies a new …

Video anomaly detection deals with the recognition of abnormal events in videos. Apart from
the visual signal, video anomaly detection has also been addressed with skeleton …

Recent years have witnessed the popularity of using two-stream convolutional neural
networks for action recognition. However, existing two-stream convolutional neural network …

Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …

In recent times, we have seen a massive rise in vision-based applications, such as video
anomaly detection, motion detection, object tracking, people counting, etc. Most of these …

Video anomaly detection (VAD) refers to identifying abnormal events in the surveillance
video. Typically, reconstruction based video anomaly detection techniques employ …

With the fuzzy boundary between normal and abnormal video data, which cannot be well
distinguished by most methods, anomaly detection in video requires better characterization …

Video anomaly detection, which is weakly supervised by video-level annotations, is a
frequent yet challenging task in computer vision owing to its unexpectedness, equivocality …

Automatic detection and interpretation of abnormal events have become crucial tasks in
large-scale video surveillance systems. The challenges arise from the lack of a clear …