Vehicle re-identification (re-ID) is based on identity matching of vehicles across non-overlapping camera views. Recently, the research vehicle re-ID attracts increased attention, mainly due to its prominent industrial applications, such as post-crime analysis, traffic flow and wide-area tracking. However, despite interest, problem remains be challenging. One most significant difficulties large...

We present a variational technique for finding low curvature smooth approximations to trajectories in the plane. The method is applied to short segments of a vehicle trajectory in a known ground plane. Estimates of the speed and steering angle are obtained for each segment and the motion during the segment is assigned to one of the four classes: ahead, left, right, stop. A hidden Markov model f...

An approach for vehicle detection system from satellite images, which are used in many applications. Vehicle detection is done by pixelwise classification method instead sliding window and region based methods, which are used in existing system. The vital part of the paper is feature extraction and vehicle colour classification. Feature extraction includes edge and corner detection. For edge de...

With the increase in population along with economic prosperity, an enormous increase in the number and types of vehicles on the roads occurred. This fact brings a growing need for efficiently yet effectively classifying vehicles into their corresponding categories, which play a crucial role in many areas of infrastructure planning and traffic management. This paper presents two vehicle-type cla...

Automotive safety is an important criterion for consumers, manufacturers and government regulators when considering vehicle design and driver operation. The availability of a driver classification system, based on in-vehicle operating data, offers a useful tool to create a safer transportation environment. In this paper, several mathematical strategies will be presented to analyse collected veh...

This paper presents a laser intensity image based algorithm for automatic vehicle classification system (AVC) on highways. The algorithm performs line by line processing of laser intensity images, produced by laser sensory units, and extracts vehicle features used for the classification. The features include vehicle length, width, height, speed, and some distinguishable patterns in the vehicle ...

Inductive Loop Detectors (ILD) are the most commonly used sensors in traffic management systems. Using the acquired inductive signatures, most proposed systems classify the vehicles using a criterion based on the estimation of the vehicle length, which requires to have a good a-priori estimate of its speed. Contrary to such standard proposals, in this paper we present a method for vehicle class...