Vehicle Tracking research paper



a vehicle tracking and security system which allows immediate response in case of vehicle theft, an accident, vehicle breakdown, or other emergency. Guardian and tracking functions are provided through Mobile Units installed in hidden locations in vehicles to be monitored. The Mobile Units communicate with a Control Center. Preferably, the Mobile Unit provides vehicle theft and intrusion protection using an in-vehicle alarm and security system linked to the Control Center by a transceiver in the Mobile Unit. Also, a keypad or other human interface device is provided, allowing a vehicle driver or occupant to signal the Control Center that a particular type of assistance is needed. The vehicle's location may be automatically transmitted to the Control Center along with any automatic alarm signal or manually entered request, the location being precisely determinable anywhere in the world through use of Global Positioning System GPS information. A model-based vehicle tracking system for the evaluation of inner-city traffic video sequences has been systematically tested on about 15 minutes of real world video data. Methodological improvements during preparatory test phases affectedamong other

Design and implementation of a sensor network system for vehicle tracking and autonomous interception.
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AbstractWe describe the design and implementation of PEG, a networked system of distributed sensor nodes that detects an uncooperative agent called the evader and assists an autonomous robot called the pursuer in capturing the evader. PEG requires services

Real time vehicle tracking system using gsm and gps technology-an anti-theft tracking system
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Abstract -A vehicle tracking system is an electronic device installed in a vehicle to enable the owner or a third party to track the vehicles location. This paper proposed to design a vehicle tracking system that works using GPS and GSM technology, which would be the cheapest

Initialization of model-based vehicle tracking in video sequences of inner-city intersections
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AbstractA fully automatic initialization approach for 3D-model-based vehicle tracking has been developed, based on Edge-Element and Optical-Flow association. An entire automatic initialization and tracking system incorporating this approach achieves results comparable to

Vehicle tracking in low-angle and front-view images based on spatio-temporal markov random field model
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AbstractOne of the most important research in ITS is the development of systems that automatically analyze or monitor traffic activities. For that purpose, it is necessary to achieve reliable vehicle tracking in traffic images. However, occlusion effect among vehicles had

Learning Enhanced 3D Models for Vehicle Tracking .
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AbstractThis paper presents an enhanced hypothesis verification strategy for 3D object recognition. A new learning methodology is presented which integrates the traditional dichotomic object-centred and appearance-based representations in computer vision giving In this paper, the problem of combining estimates provided by multiple models is considered, with application to vehicle tracking . Two tracking systems, based on the bounding-box and on the 2-D pattern of the targets, provide individual motion parameters

Design and implementation of vehicle tracking system using GPS
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Abstract : Surveillance system using phone line for security and tracking. Based on the above statement, it is targeted that this project will serve as good indication of how important it is to curb car theft in the country. Surveillance is specified to car alarm system and the

Visual vehicle tracking using an improved EKF
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AbstractIn this paper, a dynamic model of car motion is proposed in which the turn of the steering wheel and the distance between the front and rear wheel are taken into account. Extended Kalman Filter (EKF) is widely used in visual tracking systems. However, because

GSM and GPS based vehicle location and tracking system
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Abstract : A vehicle tracking system combines the installation of an electronic device in a vehicle , or fleet of vehicles, with purpose-designed computer software to enable the owner or a third party to track the vehicles location, collecting data in the process. Modern vehicle

Real time web based vehicle tracking using GPS
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Abstract Tracking systems were first developed for the shipping industry because they wanted to determine where each vehicle was at any given time. Passive systems were developed in the beginning to fulfill these requirements. For the applications which require

A feature-based vehicle tracking system in congested traffic video sequences
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This paper describes a new feature-based vehicle tracking system using trajectory matching, which extracts corner features of the vehicle and tracks the features using linear Kalman filtering, where features from the same vehicle are grouped together. We also propose a

Vehicle tracking and speed estimation using optical flow method
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Abstract : This paper presents a novel velocity estimation method for ground vehicles. The task here is to automatically estimate vehicle speed from video sequences acquired with a fixed mounted camera. The vehicle motion is detected and tracked along the frames using

GPS based low cost intelligent vehicle tracking system (IVTS)
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AbstractIntelligent Vehicle tracking systems (IVTS) are used for the purpose of tracking and navigation of vehicles. The paper describes the implementation of Global positioning systems (GPS) in IVTS systems. Further a critical GPS based low cost IVTS architecture has

Vehicle Tracking Using a Reliable Embedded Data Acquisition Sysytem With GPS and GSM
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AbstractIn this paper, we present the principles of a low operational-cost but flexible Internet- based data-acquisition system. The main core of the system is an embedded hardware running a scaleddown version of Linux: a popular choice of operating system for embedded

Illumination invariant and occlusion robust vehicle tracking by spatio-temporal MRF model
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AbstractFor many years, vehicle tracking in traffic images has suffered from the problems of occlusions and sudden variations in illumination. In order to resolve these occlusion problems, we have been proposing the Spatio-Temporal Markov Random Field model (ST

Model based vehicle tracking in urban environments
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AbstractSituational awareness is crucial for autonomous driving in urban environments. We present the moving vehicle tracking module we developed for our autonomous driving robot Junior. The robot won second place in the Urban Grand Challenge, an autonomous

Model based vehicle extraction and tracking for road traffic control
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Summary. The paper presents a method for extracting and tracking vehicles in a video sequence. This scheme combines background updating and edge detection algorithms with model based object tracking . It enables a robust mapping of vehicles trajectories and

GPS based automatic vehicle tracking using RFID
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Abstracta vehicle tracking system is an electronic device installed in a vehicle to enable the owner or a third party to track the vehicles location. The objects of the paper are: designing of a remote control vehicle having the facility of tracking location through GPS

A network analysis of road traffic with vehicle tracking data.
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AbstractThe high resolution tracking data for hundreds to thousands of urban vehicles, as well as the availability of digitized map data, provide urban planners unprecedented opportunities for better understanding urban motor vehicle transportation and for better

Heuristic reduction of gyro drift in gyro-based vehicle tracking
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AbstractThis paper pertains to the reduction of measurement errors due to drift in rate gyros used for tracking the position of moving vehicles. In these applications, gyros and odometry are often used to augment GPS when GPS reception is unavailable. Drift in gyros

Arm 7 based accident alert and vehicle tracking system
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AbstractTraffic accidents are one of the leading causes of fatalities. An important indicator of survival rates after an accident is the time between the accident and when emergency medical personnel are dispatched to the accident location. By eliminating the time between

Moving vehicle tracking based on double difference and camshift
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AbstractCAMShift is a semi-automatic tracking algorithm, which needs tracking target to be calibrated manually, and can only track one single target at a time. Aiming at these problems, this paper proposes a vehicle tracking approach based on double difference

Vehicle tracking at urban intersections using dense stereo
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AbstractA new approach for vehicle tracking at urban intersections based on stereo-vision is proposed. Objects are represented as rigid 3D point clouds and tracked by means of extended Kalman filtering. In this contribution we combine the advantages of a generic

Differential analysis of two model-based vehicle tracking approaches
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AbstractAn experimental comparison of Edge-Element Association (EEA)and Marginalized Contour (MCo)approaches for 3D modelbased vehicle tracking in traffic scenes is complicated by the different shape and motion models with which they have been AbstractA real time vehicle tracking in image sequences is presented. The moving vehicles are segmented by the method of differential image followed by the process of morphological dilation. The vehicles are recognized and tracked using statistical moments. The straight AbstractThis paper presents a multi-cue vision system for the real-time detection and tracking of pedestrians from a moving vehicle . The detection component involves a cascade of modules, each utilizing complementary visual criteria to successively narrow down the

Front and rear vehicle detection and tracking in the day and night time using vision and sonar sensors
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AbstractVarious researches about the vehicle detection and tracking using a vision sensor are done actively for the driver assistance systems (DAS), that is, a collision warning and avoidance system, a vision enhancement system, etc. But most researches about those

Real-time multiple vehicle detection and tracking from a moving vehicle
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AbstractA real-time vision system has been developed that analyzes color videos taken from a forward-looking video camera in a car driving on a highway. The system uses a combination of color, edge, and motion information to recognize and track the road Video object detection and tracking in surveillance scenarios is a difficult task due to several challenges caused by environmental variations, scene dynamics and noise introduced by the CCTV camera itself. In this paper, we analyse the performance of an object detector and

Anonymous vehicle tracking for real-time freeway and arterial street performance measurement
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Abstract : This research involved an important extension of existing field-implemented and tested PATH research by the authors on individual vehicle reidentification, to develop methods for assessing freeway and arterial (and transit) system performance for the Caltrans AbstractThe image recognition system using CCTV camera has been introduced to minimize not only loss of life and property but also traffic jam in the tunnel. In this paper, object detection algorithm is proposed to track vehicles. The proposed algorithm is to detect

Real-Time Vehicle Tracking on a Highway.
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We propose a method which can be used to perform real-time tracking of moving vehicles on highways. In addition to tracking regular cars, the proposed method can also track a vehicle performing a lane change. The proposed method consists of two sections: a

Moving object tracking of vehicle detection: a concise review
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AbstractVehicle detection and tracking applications play an important role for military and civilian applications such as in highway traffic surveillance control management and traffic planning. This paper presents a review on the various techniques of On-Road Vehicle

Approximate vehicle waiting time estimation using adaptive video-based vehicle tracking
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AbstractDuring the last two decades, significant research efforts had been made in developing vision-based automatic traffic monitoring systems in order to improve driving efficiency and reduce traffic accidents. This paper presents a practical vehicle waiting time AbstractApplications such as traffic surveillance require a real-time and accurate method for object tracking . We propose to represent scene observations with parabola segments with an algorithm that allows us to fit parabola segments in real-time to edge pixels. The

A reliability point and kalman filter-based vehicle tracking technique
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AbstractThis paper introduces a technique for tracking the movement of vehicles in consecutive video frames. The technique is based on a Kalman filter and a reliability point system. The Kalman filter predicts the most probable location of a detected vehicle in the

Gps-based vehicle tracking system-on-chip
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AbstractModern powerful reconfigurable systems are suited in the implementation of various data-stream, data-parallel, and other applications. An application that needs real- time, fast, and reliable data processing is the global positioning system (GPS)-based vehicle

Vehicle tracking system using digital VCR and its application to traffic conflict analysis for ITS-assist traffic safety
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IMM vehicle tracking for traffic jam situations on highways
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AbstractClassical vehicle tracking approaches for highway scenarios use a Kalman filter with a single dynamic model optimised to a single driving manoeuvre. In contrast, the Interacting Multiple Model (IMM) filter allows for several parallel models which are combined

Vehicle tracking system using GPS
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Abstract : The paper describe a practical model for routing and tracking of mobile vehicles in a large area outdoor environment based on the Global positioning system (GPS) and Global system for mobile communication (GSM). The supporting device GPS continuously move Abstract AbstractInformation about vehicles on the road is very important for the maintenance of traffic control in current complex traffic condition. Images of vehicles are captured by vehicle -directed cameras. This paper proposes a new vehicle tracking

Automatic take off, tracking and landing of a miniature UAV on a moving carrier vehicle
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AbstractWe present a system consisting of a miniature unmanned aerial vehicle (UAV) and a small carrier vehicle , in which the UAV is capable of autonomously starting from the moving ground vehicle , tracking it at a constant distance and landing on a platform on the

Ultra-scale vehicle tracking in low spatial-resolution and low frame-rate overhead video
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AbstractOverhead persistent surveillance systems are becoming more capable at acquiring wide-field image sequences for long time-spans. The need to exploit this data is becoming ever greater. The ability to track a single vehicle of interest or to track all the

Anonymous Vehicle Tracking for Real-Time Traffic Surveillance
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AbstractOne of the fundamental requirements of facilitating the implementation of any Advanced Transportation Management and Information System (ATMIS) is the development of real-time traffic surveillance systems that are capable of producing reliable and accurate

Video-based multiclass vehicle detection and tracking
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AbstractThis paper presents a real time multiclass vehicle detection and tracking system. The system uses a combination of machine learning and feature analysis to detect and track the vehicles on the road. Multiclass SVM and PCA methods are utilized to create multiclass

Traffic conflict analysis using vehicle tracking system with digital vcr and new conflict indicator under high speed and congested traffic environment
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Abstract : This paper presents traffic conflict analysis and proposes a new conflict indicator for developing ITS-assisted traffic safety system under congested and high-speed traffic environment. The conflict analysis is carried out with a Vehicle Tracking System using a

Automatic vehicle tracking in low frame rate aerial image sequences
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Abstract : Traffic monitoring requires mobile and flexible systems that are able to extract densely sampled spatial and temporal traffic data in large areas in near-real time. Video- based systems mounted on aerial platforms meet these requirements, however, at the

Person and vehicle tracking in surveillance video
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This evaluation for person and vehicle tracking in surveillance presented some new challenges. The dataset was large and very high-quality, but with difficult scene properties involving illumination changes, unusual lighting conditions, and complicated occlusion of AbstractThe several moving object query languages have been designed to deal with moving objects effectively. However most of them are not enough to manage vehicles in transportation system. So, to analyze vehicle information in transportation effectively, we AbstractThe capabilities of the vehicle tracking systems based on data acquisition from a single camera with a linear processing characteristic are limited by the range of light radiation acquired at a given moment. Taking into account the fact that different vehicles

Properties of randomly distributed sparse acoustic sensors for ground vehicle tracking and localization
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AbstractIn order to resolve multiple closely spaced sources moving in a tight formation using unattended acoustic sensors, the array aperture must be extended using a sparse array geometry. Traditional sparse array algorithms rely on the spatial invariance property

Applying Vehicle Tracking and Palmtop Technology to Urban Freight Surveys
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AbstractFollowing the success of the Victorian ActivityTravel Survey (VATS) of household travel, the Transport Research Centre (TRC) initiated a Freight ActivityCommercial Travel Survey (FACTS) to provide a much needed database of freight-related information for the

Lane- vehicle detection and tracking
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AbstractThis paper presents a monocular lane- vehicle detection and tracking system comprising of (i) lane boundary detection,(ii) lane region tracking , and (iii) vehicle detection with a proposed vertical asymmetry measurement. First, a traffic scene image is divided into

Real-time GPS/GPRS based vehicle tracking system
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Abstract : Designing a vehicle tracking system which can work effective, accurate and reliable is emerging in many areas. Such system is commonly used GPS technology to determine location of the vehicle . It can be used to track a vehicle or fleet of vehicles and get

Vehicle detection and tracking using the block matching algorithm
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Abstract :-The paper describes an approach to vehicle detection and tracking fully based on the Block Matching Algorithm (BMA), which is the motion estimation algorithm employed in the MPEG compression standard. BMA partitions the current frame in small, fixed size blocks

On-road visual vehicle tracking using Markov chain monte carlo particle filtering with metropolis sampling
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AbstractIn this study, a method for vehicle tracking through video analysis based on Markov chain Monte Carlo (MCMC) particle filtering with metropolis sampling is proposed. The method handles multiple targets with low computational requirements and is, therefore,

Automatic GPS-based vehicle tracking and localization information system
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Abstract : The convergence of GPS technologies, wireless communications, and Internet is seen as the key to the GPS consumer market. The proposed vehicle tracking and localization system allows: remote and mobile control and vehicle monitoring (position and

Overlapped vehicle tracking via enhancement of particle filter with adaptive resampling algorithm
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Abstract -Traffic surveillance and on-road security have elevated the demand of machine vision aided traffic control system. Through the modern video camera technology, vehicle tracking has become a vital approach to assist the on-road traffic systems. In the past, many

Advanced vehicle tracking system on Google earth using GPS and GSM
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Abstract Vehicle navigation is one of the most important applications in the era of navigation which is mostly used by drivers. Therefore the efficiency of the maps given to the drivers has a great importance in the navigation system. In this paper we proposed a very CSE PROJECTS

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