Passenger detection and occupancy estimation are vital tasks in many fields. The existing
literature emphasises that the increasing demand for such systems will continue to grow …

Increasing the number of personal cars on the transportation routes causes a heavy traffic
load. In many countries, special lines for high occupancy vehicles have been developed to …

Seat belt fastness detection in vehicles is an important factor due to the high protection role
in case an accident occurs. Modern vehicles usually have belt fastness detection systems …

A new convolutional neural network (CNN) architecture for 2D driver/passenger pose
estimation and seat belt detection is proposed in this paper. The new architecture is more …

The construction of contour levees for rice irrigation represents a major landscape
management activity with impacts on irrigation water use efficiency, crop management …

Using a safety belt is crucial for preventing severe injuries and fatalities during vehicle
accidents. In this paper, we propose a real-time vehicle occupant safety belt detection …

One of the high-risk behaviors leading to severe traffic injuries is not wearing a seat belt. It is
therefore very important to be able to automatically detect seat belts from surveillance …

Near-infrared (NIR) image spectrum translation is a challenging problem with many
promising applications. Existing methods struggle with the mapping ambiguity between the …

Risky driving is a major factor in traffic incidents, necessitating constant monitoring and
prevention through Intelligent Transportation Systems (ITS). Despite recent progress, a lack …

Recent advancement in deep learning has led to an increased interest in image processing
and computer vision applications for driver monitoring systems. One of the applications …