Automatic video analysis from urban surveillance cameras is a fast-emerging field based on
computer vision techniques. We present here a comprehensive review of the state-of-the-art …

Increase in traffic density along with the population growth in the world has resulted in more
and more congested roads, air pollution, and accidents. Growth of total number of vehicles …

In this paper, mm-Pose, a novel approach to detect and track human skeletons in real-time
using an mmWave radar, is proposed. To the best of the authors' knowledge, this is the first …

Visual surveillance of dynamic objects, particularly vehicles on the road, has been, over the
past decade, an active research topic in computer vision and intelligent transportation …

Society is rapidly accepting the use of video cameras in many new and varied locations, but
effective methods to utilize and manage the massive resulting amounts of visual data are …

This paper presents a survey of trajectory-based activity analysis for visual surveillance. It
describes techniques that use trajectory data to define a general set of activities that are …

Intersections are known for their integral and complex nature due to a variety of the
participants' behaviors and interactions. This paper presents a review of recent studies on …

Intelligent Transportation Systems need methods to automatically monitor the road traffic,
and especially track vehicles. Most research has concentrated on highways. Traffic in …

This paper presents a system for vehicle detection, tracking and classification from roadside
CCTV. The system counts vehicles and separates them into four categories: car, van, bus …

Vision‐based vehicle detection plays an important role in intelligent transportation systems.
With the fast development of deep convolutional neural networks (CNNs), vision‐based …