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This article is presented by:
Anusha.R
Bhagyasree B
Swathi priyanka
Bhargavi S

Real-Time Moving Object Tracking

INTRODUCTION


The use of video is becoming prevalent in many applications such as monitoring of traffic, detection of pedestrians,identification of anomalous behaviour in a parking lot or near an ATM, etc. While a single image provides a snap of scene, the different frames of a video taken over time reprents the dynamics in the scene,making it possible to capture motion in the sequence.
In this project the real time tracking system, which detect an object entering the field of view of a camera and execute tracking of the detected object. In this, we allow the model of the target to vary dynamically during the tracking process so that it can assimilate varatiations of shape and intensities of the target object. The tracking history can then be encoded into state parameters of kalman filter.
A stationary background is taken as reference image. Then every frame is compared with this image. If the number of pixels whose grey-level differs significantly from the reference image, then we can confirm that there is an object entering. This algorithm is Inter-frame differentiation algorithm.

The goal of our design is real time tracking with fairly good accuracy. More over since the algorithm is very efficient, we can process almost every frame in real time, amounting to a processing rate of 30 frames per second. This enables correct detection and tracking of very rapid moving object.

Hardware and software requirements for the project:
Hardware: web cam
Software: Matlab 7.0.4 software