Robust and efficient vehicle detection in monocular vision is an important task in Intelligent
Transportation Systems. With the development of computer vision techniques and …

Visual sensor networks (VSNs) are receiving a lot of attention in research, and at the same
time, commercial applications are starting to emerge. VSN devices come with image …

Parallel perception of visual motion is of crucial significance to the development of an
intelligent machine vision system. However, implementing in-sensor parallel visual motion …

Recent advances in traffic monitoring systems have made real-time traffic velocity data
ubiquitously accessible for drivers. This paper develops a traffic data-enabled predictive …

Moving shadows need careful consideration in the development of robust dynamic scene
analysis systems. Moving shadow detection is critical for accurate object detection in video …

This paper presents an automatic traffic surveillance system to estimate important traffic
parameters from video sequences using only one camera. Different from traditional methods …

Multiple object tracking is a fundamental task in computer vision with significant implications
for various applications, including traffic monitoring, autonomous driving, and video …

This paper presents a novel vehicle detection approach for detecting vehicles from static
images using color and edges. Different from traditional methods, which use motion features …

This paper presents an advanced urban traffic density estimation solution using the latest
deep learning techniques to intelligently process ultrahigh-resolution traffic videos taken …

This paper presents an effective traffic surveillance system for detecting and tracking moving
vehicles in nighttime traffic scenes. The proposed method identifies vehicles by detecting …