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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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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moving object detection and tracking using image subtraction in matlab

Today I finished implementing an algorithm for object detection and tracking using image subtraction. Ultimate goal being to use mean shift based algorithm for obstacle detection I tried to implement this algo first in MATLAB for a warmup. It is a very simple algorithm based on a very simple idea.

Idea : When you substract two subsequent frames clicked by your cam, the part of image which does not change (background) gets subtracted to give zero intensity (black). Only the ....etc

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Presnted By:
Rajesh Grandhi
Matriculation .no: 0861090

by:
Prof. Dr.-Ing. K. Kyamakya


SHAPE DETECTION BASED MULTI TRACKING
(KALMAN FILTER)

Abstract:
This paper introduces a detection of a wheel from particular frames of video. Detection is done by two approaches, first approach is through the pixel changing and the second approach is through Haar-Like feature. Here the detection is done with the help of Haar-Like feature s and by using adaboost boosting techquies the detection process is been enha ....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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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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Abstract
In this paper we describe a method for tracking multiple objects whose number is unknown and varies during tracking. Based on preliminary results of object detection in each image which may have missing and/or false detection, the multiple object tracking method keeps a graph structure where it maintains multiple hypotheses about the number and the trajectories of the objects in the video. The image information drives the process of extending and pruning the graph, and determines the best hypothesis to explain the video. While the im ....etc

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OBJECT TRACKING AND DETECTION


INTRODUCTION TO OBJECT TRACKING

Object tracking is an important task within the field of computer vision. The proliferation of high-powered computers, the availability of high quality and inexpensive video cameras, and the interesting need for automated video analysis has generated a great deal of interest in object tracking.

In its simplest form, tracking can be defined as a method of following an object ....etc

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Jason A. Fuemmeler, Member, IEE, and Venugopal V. Veeravalli, Fellow, IEE

ABSTRACT
The problem of tracking multiple objects moving through a network of wireless sensors is studied. It is assumed that each sensor has a limited range for detecting the presence of the object, and that the network is sufficiently dense so that the sensors cover the area of interest. In order to conserve energy the sensors may be put into a sleep mode with a timer that determines the sleep duration. It is assumed that a sensor that i ....etc

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Abstract Existing distance measures of time series such as the euclidean distance, DTW, and EDR are inadequate in handling certain degrees of amplitude shifting and scaling variances of data items. We propose a novel distance measure of time series, Spatial Assembling Distance (SpADe), that is able to handle noisy, shifting, and scaling in both temporal and amplitude dimensions. We further apply the SpADe to the application of streaming pattern detection, which is very useful in trend-related analysis, sensor networks, and video surveillance. ....etc

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