Detecting human beings accurately in a visual surveillance system is crucial for diverse
application areas including abnormal event detection, human gait characterization …

Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …

The problem of human detection is to automatically locate people in an image or video
sequence and has been actively researched in the past decade. This paper aims to provide …

Human activity monitoring in the video sequences is an intriguing computer vision domain
which incorporates colossal applications, eg, surveillance systems, human-computer …

Accidents have been a major cause of deaths in India. More than 80% of accident-related
deaths occur not due to the accident itself but the lack of timely help reaching the accident …

Currently, the number of surveillance cameras is rapidly increasing responding to security
issues. But constructing an intelligent detection system is not easy because it needs high …

One of the most active areas in computer vision is object detection, which has made
significant improvement in recent years. Current state-of-the-art object detection methods …

Although pedestrian detection has achieved promising performance with the development of
deep learning techniques, it remains a great challenge to detect heavily occluded …

Video Surveillance (VS) systems are commonly deployed for real-time abnormal event
detection and autonomous video analytics. Video captured by surveillance cameras in real …

Histogram of oriented gradients (HOG) descriptor was initially applied to human detection
and achieved great success. In recent years, HOG descriptor has also been applied to face …