A Special Application of a Video-image System for Vehicle Tracking and Speed Measurement
نویسنده
چکیده
This paper documents a special application of a video-image system (AUTOSCOPE) to track main-street through movement vehicles and measure their individual speeds at two-way stop-controlled intersections. The initial objective of this application was to find an automated means to collect vehicle speeds at unsignalized intersections for the purpose of analyzing a driver’s gap-acceptance characteristics. To perform vehicle tracking for main-street through vehicles, a special application was developed which is beyond the basic system functions and features available in AUTOSCOPE. A vehicle-tracking program was developed that uses individual detector information and extracts the data associated with the mainstreet through vehicles. The study then addressed the issues that are related to speed measurement using video-image systems. Results from field tests indicated that the accuracy for tracking vehicle movements varies depending on the camera view. Under the worst-case scenario, the accuracy of vehicle tracking was about 87 percent. For speed measurements, the results were compared with those measured using a radar gun. The error was approximately ±5 km/h while reporting individual speeds. Although the speed data obtained from AUTOSCOPE may still lack the precision required for studies such as gap acceptance characteristics at unsignalized intersections, the method developed through this study showed good potential to develop special applications beyond the basic features and functions of video-image systems.
منابع مشابه
Quadrotor UAV Guidence For Ground Moving Target Tracking
The studies in aerial vehicles modeling and control have been increased rapidly recently. In this paper , a coordination of two types of heterogeneous robots , namely unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) is considered. In this paper the UAV plays the role of a virtual leader for the UGVs. The system consists of a vision- based target detection algorithm that uses the ...
متن کاملNeural Network Performance Analysis for Real Time Hand Gesture Tracking Based on Hu Moment and Hybrid Features
This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...
متن کاملMoving Vehicle Tracking Using Disjoint View Multicameras
Multicamera vehicle tracking is a necessary part of any video-based intelligent transportation system for extracting different traffic parameters such as link travel times and origin/destination counts. In many applications, it is needed to locate traffic cameras disjoint from each other to cover a wide area. This paper presents a method for tracking moving vehicles in such camera networks. The...
متن کاملPedestrians Tracking in a Camera Network
With the increase of the number of cameras installed across a video surveillance network, the ability of security staffs to attentively scan all the video feeds actually decreases. Therefore, the need for an intelligent system that operates as a tracking system is vital for security personnel to do their jobs well. Tracking people as they move through a camera network with non-overlapping field...
متن کاملPedestrians Tracking in a Camera Network
With the increase of the number of cameras installed across a video surveillance network, the ability of security staffs to attentively scan all the video feeds actually decreases. Therefore, the need for an intelligent system that operates as a tracking system is vital for security personnel to do their jobs well. Tracking people as they move through a camera network with non-overlapping field...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003