Vehicle detection and classification has been an area of application of image processing
and machine learning which is being researched extensively in accordance with its …

In traffic accidents, motorcycle accidents are the main cause of casualties, especially in
developing countries. The main cause of fatal injuries in motorcycle accidents is that …

Motorcycles are Vulnerable Road Users (VRU) and as such, in addition to bicycles and
pedestrians, they are the traffic actors most affected by accidents in urban areas. Automatic …

The real-time detection of traffic rule violators in a city-wide surveillance network is a highly
desirable but challenging task because it needs to perform computationally complex …

Object detection and recognition is a computer vision technology and is considered as one
of the challenging tasks in the field of computer vision. Many approaches for detection have …

Automated detection of motorcycle helmet use through video surveillance can facilitate
efficient education and enforcement campaigns that increase road safety. However, existing …

The continuous motorization of traffic has led to a sustained increase in the global number of
road related fatalities and injuries. To counter this, governments are focusing on enforcing …

Automated detection of traffic rule violators is an essential component of any smart traffic
system. In a country like India with high density of population in all big cities, motorcycle is …

The higher mortality rate in motorcycle accidents is attributed to negligence in wearing a
helmet by two-wheeler riders. Identification of helmetless riders in real-time is an essential …

Video surveillance-based automatic detection of motorcycle helmet usage can enhance the
effectiveness of educational and enforcement initiatives aimed at boosting road safety …