In real‐world intelligent transportation systems, accuracy in vehicle license plate detection
and recognition is considered quite critical. Many algorithms have been proposed for still …

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 …

License plate detection is the first and essential step of the license plate recognition system
and is still challenging in real applications, such as on-road scenarios. In particular, small …

Auto License Plate Detection and Recognition (ALPDR) is required in many industrial fields,
including visual surveillance systems and vehicle registration control. Even though this field …

The primary challenge in tracing the participants in sports and marathon video or images is
to detect and localize the jersey/Bib number that may present in different regions of their …

In wild scenes, the detection of license plates (LP) is a fundamental task in realistic
intelligent transportation applications. However, most existing license plates detection …

This work is related to building a Seatbelt Detection system based on Fully Connected One
Shot (FCOS). It is one of the most recent Deep Learning approaches primitively built using …

Detecting multiple license plate numbers in crowded street scenes is challenging and
requires the attention of researchers. In contrast to existing methods that focus on images …

Road safety is of utmost importance, and helmet compliance for motorcyclists plays a crucial
role in mitigating severe injuries and fatalities. Monitoring and enforcing helmet usage …

Clothing detection is a hot research focus as its application of identifying the specific
category of clothing, such as long-sleeved and short-sleeved. Image-based clothing …