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The classification and statistics of the vehicles type in the road section are important parameters for the traffic management and control. The paper put forward the vehicle classification using image invariant moment and BP neural networks. First of all, road background is rebuild according to the serials images, and the background differences are used to segment vehicle region, invariant moment...
A new application of exploiting digital watermarking techniques for annotating traffic surveillance videos is presented in this paper. The information of each vehicle collected from other sensors/sources will be embedded into the corresponding pixels in the recorded video to facilitate data management. The traffic scene captured by a video camera will be analyzed first and the individual vehicles...
The paper researches the threshold segmentation arithmetic of the video vehicle measurement. It is the image's preprocessing that using the method of least square fitting to adjust the primal image and dealing the image with the median filter. For the threshold selection, the article gives the theory of the state method, 2-mode method, iterative method and Ostu method and analyses them to make the...
In this paper we describe a multi-camera traffic monitoring system relying on the concept of probability fusion maps (PFM) to detect vehicles in a traffic scene. In the PFM, traffic images from multiple cameras are inverse perspective-mapped and registered onto a common reference frame, combining the multiple camera information to reduce the impact of occlusions. Although the unconstrained perspective...
The research intends to develop the vehicle detection and counting system using image processing. Overall works are software development of a system that requires a video stream and capture to a video frame. They consist of the following components: background road without any moving vehicle and the frame with moving vehicles. The system is designed to find the differentiation which is the moving...
License plate recognition system (LPRS) is the hard core of the intelligent traffic system. In this paper, license plate (LP) frame was captured from video image sequences by background-difference, and an improved Kalman filter method was adopted to update the background. By means of mathematical morphology (MM) and edge characteristic analysis, LP orientation was conducted. After the binarization...
In this paper, we proposed an intelligent visual surveillance in specific sea-area based on video processing. We apply the technology of computer vision and video processing to implement the automatic system. At the first, we separate background and foreground in videos, and set a weight to update the new background. To extract the moving ships in videos, we apply the techniques including the change...
The research of red light runners video detecting algorithm is an important research field in computer vision applications. This paper proposes a novel method for red light runners video detecting based on analysis of tracks of vehicles. This method including two steps: obtaining and fit for tracks of vehicles and analysis of red light runners. Our method is simple and effective, as while as can be...
The paper put forward the vehicle classification using image analyses. First of all, road background is set up according to the serial images, and the vehicle region are segmented using background divide, then its moment invariant features are calculated. The moment invariant features of vehicle will be the input of BP neural networks with three layers, and the vehicle type is classified according...
In this paper, a novel road modeling strategy is proposed, defining an accurate and robust system that operates in real-time. The strategy aims to find a trade-off between computational requirements of real systems and accuracy and robustness of the results. The basis of the strategy is an adaptive road segmentation technique which ensures robust detections of lane markings and vehicles. A multiple...
This article presents a new method based on video images to measure the speed of vehicles. The working principle is taking two instantaneous tandem photographs. Then based on the location of the vehicle and CCD, with reference to the advance calibration lines, we can obtain speed of vehicle. Further, this paper analyses two measurement errors, and discusses how to choose the picture filming location...
With the proliferation of advanced computer vision techniques, machine vision-based Intelligent Transportation System (ITS) will be the next wave of technologies for better traffic management and monitoring. In this paper, we present a reconfigurable and collaborative multi-camera framework for vehicle detection and license plate recognition. The synchronization between multiple cameras enable us...
Here we propose a complete system for robust detection and recognition of the current speed sign restrictions from a moving road vehicle. This approach includes the detection and recognition of both numerical limit and national limit (cancellation) signs with the addition of automatic vehicle turn detection. The system utilizes both RANSAC-based colour-shape detection of speed limit signs and neural...
Camera calibration, as a fundamental issue in computer vision, is indispensable in many visual surveillance applications. Firstly, calibrated camera can help to deal with perspective distortion of object appearance on image plane. Secondly, calibrated camera makes it possible to recover metrics from images which are robust to scene or view angle changes. In addition, with calibrated cameras, we can...
To measure a vehiclepsilas lateral position relative to the lane of the road a low cost system can be developed to measure it. While operating the system during day and night it has the capability to track white or orange lines, solid or dashed edge lines. The system is comprised of two ldquooff the shelf ldquoblack and white charge coupled devices (CCD) video cameras along with commonly available...
In the scope of the EU funded TRACKSS project on cooperative advanced sensors for road traffic applications, we investigate the potential of pre-existing road traffic sensors for pedestrian crossing detection. Two road traffic video-sensors provide spatial occupancy rates on areas along a crosswalk. We propose to correct pedestrian under-detection with a double fusion process composed of inter-sensor...
Tracking vehicles in heavy-traffic video is a challenging problem. It is hard for algorithms based on background extraction to work well. We propose an algorithm that does not need background information. In this algorithm, vehicle corners are detected and tracked, and then grouped into vehicles. Experiments show the effectiveness of the proposed algorithm under heavy congestion.
Metrology of vehicle trajectories has several applications in the field of road safety, particularly in dangerous curves. Actually, it is of great interest to observe trajectories of vehicles with the aim of designing a real time driver warning device in dangerous areas. This paper addresses the first step of a work with a video system placed along the road with the objective of vehicle's position...
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