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In this paper, we address the problem of vehicle detection and tracking with low-angle cameras by combining windshield detection and feature points clustering, effectively fusing several primitive image features such as color, edge and interest point. By exploring various heterogenous features and multiple vehicle models, we achieve at least two improvements over the existing methods: higher detection...
In this paper, we investigate the applicability of the newly proposed data clustering method, affinity propagation, in feature points clustering and the task of vehicle detection and tracking in road traffic surveillance. We propose a model-based temporal association scheme and novel preprocessing and postprocessing operations which together with affinity propagation make a quite successful method...
Focusing on the problem that the detection accuracy of traffic detection system is sensitive to the changes of complex environments, this paper presents an improved method of vehicle detection. It builds and updates the background adaptively. Additionally, to improve the computation efficiency of shadow elimination, a fast algorithm of neighbor mean based on HSV model is proposed. As the occlusion...
We propose a new traffic analysis framework using existing traffic camera networks. The framework integrates vehicle detection and image-based matching methods with geographic context to match vehicles across different views and analyze traffic. This is a challenging problem due to the low frame-rate of traffic-cams and the large distance between views. A vehicle may not always appear in a camera...
Video surveillance system is widely used in the current traffic monitoring system. Existing commercial image processing system works well in vehicle detection and tracking, but it has difficulties in vehicle classification if the camera is not calibrated. A priori camera calibration is used in many systems, which is a complicated process. In this paper, a very simple roadside camera calibration is...
Vision difference or inattention to the traffic condition often causes the unnecessary traffic accidents while driving. Therefore, this study is to fast detect both the preceding vehicle and lane marking at the least response time 0.5972 seconds. After coordinate transformation converts image plane coordinates of the preceding vehicle to GPS coordinates, the headway between cars is obtained to assist...
In modern intelligent transportation systems, the video image vehicle detection system (VIVDS) is gradually becoming one of the popular methods at signalized traffic intersection due to its convenient installation and rich information content provided. However, in the current VIVDS, the camera usually is installed at the roadside poles or traffic light poles, which not only requires more than one...
This paper presents methods for vision-based detection and tracking of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. The goal of this research is to develop suitable methods for automatic visual traffic surveillance to perform detection, tracking and traffic parameter estimation of multiple vehicles in real time as well as tackle environment illumination...
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...
A new approach for the traffic congestion detection in time series of optical digital camera images is proposed. It is well suited to derive various traffic parameters such as vehicle density, average vehicle velocity, beginning and end of congestion, length of congestion or for other traffic monitoring applications. The method is based on the vehicle detection on the road segment by change detection...
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