Cost Effective GPS-GPRS Based Object Tracking System


I. INTRODUCTION
A good number of tracking systems had so far been
developed with a wide range of tracking facilities .
But the operation cost of most of these systems is higher
which prevents from widespread use. On the other hand, the
rate of car theft, asset theft, child kidnapping in many
countries are increasing at a higher rate . The objective of
this research is to reduce the cost of the tracking system us ....etc

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Introduction to Video tracking

Video tracking is the process of locating a moving object (or multiple objects) over time using a camera. It has a variety of uses, some of which are: human-computer interaction, security and surveillance, video communication and compression, augmented reality, traffic control, medical imaging and video editing. Video tracking can be a time consuming process due to the amount of data that is contained in video. Adding further to the complexity is the possible need to use object recognition techniques for tracki ....etc

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Abstract
This paper proposes and implements a low cost object tracking system using GPS and GPRS. The system allows a user to view the present and the past positions recorded of a target object on Google Map through the internet. The system reads the current position of the object using GPS, the data is sent via GPRS service from the GSM network towards a web server using the POST method of the HTTP protocol. The object s position data is then stored in the database for live and past tracking. A web application is developed using PHP, JavaS ....etc

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matlab code object tracking using kalman filter

Basic background of Kalman Filter:

The Kalman filter, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing noise (random variations) and other inaccuracies, and produces estimates of unknown variables that tend to be more precise than those based on a single measurement alone. More formally, the Kalman filter operates recursively on streams of noisy input data to produce a statistically optimal estimate of the underlyi ....etc

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Hello,
Here I want to get help about the image processing. Here I want to inform that I am using a webcam. I want to differentiate between the objects of the same size but having different coloures. The object is the ball of 50mm diameter. It can be of three different coloures- red, blue or black. Please let me know how I can track that ball and estimate, where the ball would be after some certain time or when and where it will reach. The ball is rolled on a ramp.
Thank you.. ....etc

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Object Tracking and Velocity Determination using TMS320C6416T DSK

Begutachter: Univ. Prof. Dr. techn. Bernhard Rinner
Betreuer: Univ. Ass. Dipl. Ing. Wolfgang Schriebl
Institute of Networked and Embedded Systems
Pervasive Computing

Abstract
This project deals with the tracking and following of single object in a sequence of frames
and the velocity of the object is determined. Algorithms are developed for improving
the image quality, segmentation, feature extraction and for deterring the velocity. The
d ....etc

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OBJECT TRACKING IN VIDEO SEQUENCES

ABSTRACT

This gives an overview of Object tracking, the problem of estimating the
trajectory of an object in the image plane as it moves around a scene.. In this paper, we divide the tracking methods into three categories based on the use of object representations, namely, methods establishing point correspondence, methods using primitive geometric models, and methods using contour evolution. Note that all these classes require object detection at some point. Rec ....etc

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pls sent about analysis of quality of object oriented systems using object oriented metrics ppt
thanku. ....etc

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MOTION SEGMENTATION AND MEANSHIFT ASSISTED CONTOUR REFINEMENT FOR AIRBORNE VIDEO
Ratheesh K
Supriya Rao
Santhosh Kumar G
Cochin University of Science and Technology
ABSTRACT
This paper presents methods for moving object detection in airborne video surveillance. The motion segmentation in the above scenario is usually difficult because of small size of the object, motion of camera, and inconsistency in detected object shape etc. Here we present a motion seg ....etc

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ABSTRACT
The objective of this project is to develop the matlab implementation for performing the following functions:
To acquire the displacement and velocity information of moving vehicles such as military tanks
To identify the type of target with in the range from 100m to 3km
To estimate the movements of the vehicle from tracking system
The sequence of steps during development are as follows:
Two consecutive frames of source image which is captured online using CCD is taken. The basic unit is develope ....etc

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