The demand for surveillance networks is increasing universally on account of decreasing
the faith in people. This leads to monitor the people during working, roaming, traveling, and …

The increasing demand for surveillance systems has resulted in an unprecedented rise in
the volume of video data being generated daily. The volume and frequency of the …

The identification of abnormal behavior has several applications. There are several ways,
ranging from classical to deep learning based. It may be used to monitor campuses, banks …

Currently, CCTV (Closed Circuit Television) cameras are used for surveillance by alerting
the security officer if any malfunction or abnormal activity happens. Abnormal activities may …

The recognition of abnormal behavior in surveillance video is the focus of current research,
which has high research value and broad application possibilities. Its main applications are …

A behavior is considered abnormal when it is seen as unusual under certain contexts. The
definition for abnormal behavior varies depending on situations. For example, people …

This paper brings forward one amongst the foremost significant applications of human
suspicious activity recognition that is termed as anomaly detection. A key concern of any …

In the last few years, surveillance cameras have been massively distributed both indoors
and outdoors in public, due to security concerns creating a need to monitor unexpected …

In today's world, suspicious or unusual activities express threats and danger to others. For
the prevention of various security issues, an automatic video detection system is very …

Big data applications are consuming most of the space in industry and research area.
Among the widespread examples of big data, the role of video streams from CCTV cameras …