Over the past decade, vision-based vehicle detection techniques for road safety
improvement have gained an increasing amount of attention. Unfortunately, the techniques …

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 …

This paper aims at real-time in-car video analysis to detect and track vehicles ahead for
safety, autodriving, and target tracing. This paper describes a comprehensive approach to …

This paper proposes a novel method for multivehicle detection and tracking using a vehicle-
mounted monocular camera. In the proposed method, the features of vehicles are learned …

Vehicle type classification technology plays an important role in the intelligent transport
systems nowadays. With the development of image processing, pattern recognition and …

In this paper, we describe a novel algorithm that counts and classifies highway vehicles
based on regression analysis. This algorithm requires no explicit segmentation or tracking of …

Automatic car counting is an important component in the automated traffic system. Car
counting is very important to understand the traffic load and optimize the traffic signals. In …

In this paper, we propose a method for detecting vehicles from a nighttime driving scene
taken by an in-vehicle monocular camera. Since it is difficult to recognize the shape of the …

In this paper, we propose a vision-based robust vehicle detection and inter-vehicle distance
estimation algorithm for driving assistance system. It uses the directional edge features, as …

Vehicle make and model recognition (VMMR) is a vital task in applications like intelligent
parking systems, driver assistance systems, and automated toll collection. Accurate …