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In this paper, we proposes a novel tracking algorithm combining Kalman Filter with mean-shift. Kalman Filter predicts the vehicle position in the next frame. Mean-shift finds the best candidate which has maximum similarity with the tracked vehicle in the predicted area. Kalman Filter updates its state value of vehicle position with the position of the best candidate from the mean-shift tracker. As...
Leading vehicle localization is the key part of intelligent driving system. This paper presents a novel and effective lane-vehicle detection and tracking system to achieve real-time and robust leading vehicle localization. The system is composed of (i) lane detection and tracking, (ii) sky and road region recognition, (iii) vehicle detection and tracking. First, lane detection and sky and road recognition...
Vehicle detection in real-time from rear-side of a host vehicle is one of important problems in Lane Change Assistance. In this paper, we propose a vision system for real-time vehicle and lane detection and tracking using two cameras, which are equipped under the wing mirror both left and right side. From the input images, EDLines algorithm is used for line segment detection in real-time. According...
To reduce roadway congestion and improve traffic safety, accurate traffic metrics, such as number of vehicles travelling through lane-ways, are required. Unfortunately most existing infrastructure, such as loop-detectors and many video detectors, do not feasibly provide accurate vehicle counts. Consequently, a novel method is proposed which models vehicle motion using hidden Markov models (HMM). The...
In the area of traffic flow monitoring, planning and controlling, a video based traffic detection and tracking plays an effective and significant role where effective traffic management and safety is the main concern. The goal of the project is to recognize moving vehicles and track them throughout their life spans. In this paper, we discuss and address the issue of detecting vehicle/traffic data...
In a fast paced world where time is often equated with money, the dependency on transportation system is ever increasing. As economies grow, the boundaries of urban cities also grow and with it, the traffic overhead. As in developed countries, in India public modes of transport is viewed as often the fastest. However, due to the lack of necessary infrastructure one often finds it difficult to get...
With reference to the common vehicle abnormal behaviors, the article presents a video-based vehicle abnormal behavior detection system. on the basis of background subtraction methods to detect vehicles, the vehicle tracking and abnormal behavior identification was realized by building up information chain of tracked vehicles. the system solves effectively the problems of traditional method, such as...
As traffic surveillance technologies continue to grow worldwide, vehicle detection, counting and tracking are becoming increasing important. This paper proposes a real-time multi-vehicle detection and tracking approach. Lane marker detection is carried out for vehicle counting on each lane. It also helps remove the foreground noise and shadow. Instead of tracking the entire vehicle blob, vehicle sub-feature...
Real-time image processing is a difficult work for traffic video monitoring. This paper proposed a method to detect and track vehicles on highway based on airship video and therefore calculate traffic parameters in real-time. A blocking road extraction was performed to determine the ROI, and automatically calculate the tilt of the road which contributes to vehicles detection. A lane marks registration...
Using a GPS to navigate, a guard locates a car theft and utilizes vehicle tracking that is, at present, widely employed. In this paper the terminal device using a microcontroller combines a GPS and a GSM/GPRS to make a portable and remote controlling device, and an embedded server is used as a transfer location server. In this way one accomplishes real-time vehicle trajectory monitoring. Clients can...
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