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This study aims to extract traffic density through traffic monitoring camera images. To this end, it uses Kalman filter based background estimation, which can efficiently adapt to environmental factors such as light change. The difference between the incoming image and the calculated background was subjected to the proposed filters and the vehicles in the foreground were marked. The binary image representing...
With widely use of pervasive computing, the fields related with distributed augmented reality driving system are greatly enlarged. According to the mode of pervasive computing, This paper arms at the estimate algorithms of fictitious collision in distributed augmented reality driving system, it shows a new method which checks up the virtual collided by the specialties time supervision. This method...
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...
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...
A shadow detection algorithm base on spatial features was proposed, in the case of focusing on traffic vehicle detection system. First of all, multi-foreground rectangles were extracted by using Gaussian mixture model (GMM) and edge detection operator of mathematical morphology. Then, histogram of horizontal location - foreground point number of vertical direction was computed, combined with optimum...
Present a license plate localization method about narrowing region gradually. According to the smooth curve shape of gray-scale histogram, distinguish between daytime and nighttime for license plate images. For daytime image, with longitudinal difference, iterative binarization, and removing-noise erosion, give prominence to the transverse lines of vehicle body; with the longitudinal projection smooth...
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...
The automatic lane marking detection, vehicle detection and incident detection systems are proposed in this paper. The block-based background extraction that combines statistical algorithm and the moving block information is used to obtain the color background image more exactly. The lane detection algorithm is applied to obtain the lane information from the color background image without the limitation...
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...
For automotive applications, 3D perception of the car's surroundings is crucial, both for driver assistance and for safety systems. In addition, a large field of view is required for future applications such as intersection assistance. A popular option to obtain 3D measurements and detect objects is to use two cameras (stereo vision). Applications based on object detection range from Adaptive Cruise...
This paper describes the idea and the implementation of the robust algorithm dedicated to extraction of moving vehicles from real-time camera images for the evaluation of traffic parameters, such as the number of vehicles, their direction of movement and their approximate speed. The authors, apart from the careful selection of particular steps of the algorithm towards hardware implementation, also...
An algorithm for moving vehicles localisation in digital image sequences is presented and initially explored. It can be in future applied e.g. as a step in traffic monitoring, speed verification, accident detection, searching for stolen cars, license plates recognition, etc. It is based on selection of sections, that are different from background in consecutive frames. It requires earlier preparation...
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