Suspicious human activity recognition from surveillance video is an active research area of
image processing and computer vision. Through the visual surveillance, human activities …

There is a strong demand of smart vision based surveillance system owing to the increase in
crime at a frightening rate at various public places like Banks, Airport, Shopping malls and its …

Growing vehicular traffic in urban areas creates a mess for authorities to handle city traffic.
With the lack of human resources, authorities are moving towards the use of smart and auto …

Recently, increasing attention has been paid to the detection of spatio-temporal interest
points (STIPs), which has become a key technique and research focus in the field of …

Advancement in technology causes the rise in smart systems. City authorities want to make
their cities smarter by making an intelligent decision at real time without the involvement of …

This paper presents a content-adaptively sparse reconstruction method for abnormal events
detection by exploiting the low-rank property of video sequences. In dictionary learning …

Detecting anomalies such as rule violations, accidents, unusual driving and other suspicious
action increase the need for automatic analysis in Traffic Video Surveillance (TVS). Most of …

Detection of abnormal events in the traffic scene is very challenging and is a significant
problem in video surveillance. The authors proposed a novel scheme called super …

The license plate recognition (LPR) is always in operation with the needs of both quantity-
and-quality-based approaches. The entire procedure of license plate recognition consists of …

The application of machine vision techniques in Vehicle-to-Everything (V2X) scenarios
within Intelligent Connected Systems (ICS) has gained increasing importance with …