help me becuase I am going to represent it. ....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 i ....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 featureâ„¢s and by using adaboost boosting techquies the detection process is been ....etc

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Real Time Object Tracking ....etc

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field of computer vision, tracking and motion estimation of 3D objects take on a significant place. Object tracking is the process of identifying an object of interest, finding position of that object, and following the motion of the object. A lot of applications, especially in robotics, transport or in the military domain, require an accurate knowledge of localization and motion of the objects in the scene. Many works were carried out on the subject, from which emerge 3 classes of methods. Feature-based methods aim at extract ....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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Real-time people tracking for mobile robots using thermal vision




Abstract

This paper presents a vision-based approach for tracking people on a mobile robot using thermal images. The approach combines a particle
filter with two alternative measurement models that are suitable for real-time tracking. With this approach a person can be detected independently
from current light conditions and in situations where no skin colour is visible.

Introduction

As research robots move closer towards re ....etc

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Abstract
Eye-gaze is an input mode which has the potential of an efficient computer interface. Eye movement has been the focus of research in this area. Non-intrusive eyegaze tracking that allows slight head movement is addressed in this paper. A small 2D mark is employed as a reference to compensate for this movement. The iris center has been chosen for purposes of measuring eye movement. The gaze point is estimated after acquiring the eye movement data. Preliminary experimental results are given through a screen pointing ....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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Presented by
Dinesh Anand S.P


 introduction
 Processing large set of image data until 1970’s was difficult.
 Still in the state of basic research.
 Computer vision is the science and technology of machines that see.
 Sub domains include event detection, video tracking, object recognition etc
Biological vision(a) Vs Computer vision(b).
Relation between computer vision and other fields
 Digital image processing
 Digital Image
 Representat ....etc

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