Automated surveillance systems observe the environment utilizing cameras. The observed
scenario is then analysed using motion detection, crowd behaviour, individual behaviour …

Interest in the security of individuals has increased in recent years. This increase has in turn
led to much wider deployment of surveillance cameras worldwide, and consequently …

The security and urbanization challenge is expected to rise to 90% by 2050, and to leverage
existing resources, technology is the solitary means to cope with this anticipated raise in …

Multimedia data mining, particularly feature selection (FS), has been successfully applied in
recent classification and recognition works. However, only a few studies in the contemporary …

Recently, various conferences and journals have published articles related to Video
Surveillance Systems, indicating researchers 'attention. The goal of this review is to examine …

Steganography is the science of hiding information in a media such as video, image or
audio files. On the other hand, the aim of steganalysis is to detect the presence of embedded …

Human activity recognition is a challenging problem of computer vision and it has different
emerging applications. The task of recognizing human activities from video sequence …

There is a growing demand in automated public safety systems for detecting unauthorized
vehicle parking, intrusions, un-intended baggage, etc. Object detection and recognition …

Moving object tracking is one of the challenging problems in computer vision and it has
numerous applications in surveillance system, traffic monitoring etc. The goal of object …

Vision‐based traffic surveillance plays an important role in traffic management. However,
outdoor illuminations, the cast shadows and vehicle variations often create problems for …