Background subtraction is an effective method of choice when it comes to detection of
moving objects in videos and has been recognized as a breakthrough for the wide range of …

Automatic identification of human interaction is a challenging task especially in dynamic
environments with cluttered backgrounds from video sequences. Advancements in computer …

Human activity monitoring and recognition systems assist experts in evaluating various
health problems including obesity, cardiac diseases and, sports injury detection. However …

Articulating an individual behavior analysis from a video stream is considered by most
researchers. It has its own applications in the field of computer vision-based Human activity …

Abstract Human Activity Recognition (HAR) is an important research issue for pervasive
computing that aims to identify human activities in smart homes. In the literature, most …

In the current era, automatic surveillance has become an active research problem due to its
vast real-world applications, particularly for maintaining law and order. A continuous manual …

Human Action Recognition methods have prospered during the last decade. They seek to
automatically analyze ongoing activities in different camera views by using machine …

In this paper, we presented a comparison between different approaches of person re-
identification in camera network based on the-state-of-the-art. We studied the different …

Video surveillance is ubiquitous in the public area of the world now. Human activity
recognition based on video surveillance automatically identifies and analyses the human …

Multi-shot person re-identification is a major challenge because of the large variations in a
human's appearance caused by different types of noise such as occlusion, viewpoint and …