I am doing project on the topic Robust Global Motion Estimation Oriented
to Video Object Segmentation can anyone help me with this ....etc

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Real Time Object Tracking ....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
The advance of technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compared to still images, video sequences provide more information about how objects and scenarios change over time. However, video needs more space for storage and wider bandwidth for transmission. Hence is raised the topic of video compression. The MPEG 4 compression standard suggests the usage of object planes. If the object planes are segmented correctly and t ....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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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 dete ....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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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 objectâ„¢s position data is then stored in the database for live and past tracking. A web application is developed using ....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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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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