Video skimming, also known as dynamic video summarization, generates a temporally
abridged version of a given video. Skimming can be achieved by identifying significant …

This paper presents an approach for detecting suspicious events in videos by using only the
video itself as the training samples for valid behaviors. These salient events are obtained in …

We present a novel approach for video parsing and simultaneous online learning of
dominant and anomalous behaviors in surveillance videos. Dominant behaviors are those …

In this paper, a weakly supervised framework is proposed for Abnormal Behavior Detection
and Localization (ABDL) in the scenes. First, the objects in the scene such as pedestrians …

Existing anomaly detection (AD) approaches rely on various hand‐crafted representations to
represent video data and can be costly. The choice or designing of hand‐crafted …

Manual processing of a large volume of video data captured through closed-circuit television
is challenging due to various reasons. First, manual analysis is highly time-consuming …

Recent emerging trends for automatic behavior analysis and understanding from
infrastructure video are reviewed. Research has shifted from high-resolution estimation of …

The growing rate of public space closed-circuit television (CCTV) installations has
generated a need for automated methods for exploiting video surveillance data, including …

Anomaly detection, which aims to discover anomalous events, defined as having a low
likelihood of occurrence, from surveillance videos, has attracted increasing interest and is …

In visual surveillance, detecting and localising abnormal events are of great interest. In this
study, an unsupervised method is proposed to automatically discover abnormal events …