Tracking Using Multiple Views
Context and Background: Tracking systems are essential in computer vision, with applications in surveillance, health-care, etc. Recent developments in video acquisition hardware and the consequent relaxation of its price have made possible a deployment of multiple cameras. The availability of multiple points of view and the redundancy of information allow a more precise monitoring of complex scenes.
Problem Statement: Object/Human tracking using images is one of the necessary research topics in dynamic scene analysis, since tracking is typically the first step before applying higher level scene analysis algorithms. This proposal is concerned to develop a multi-camera tracking algorithm. The hardware of the system includes two spherical robots, each of them equipped with several cameras distributed over their surfaces. Detection and tracking object/human in this system is challenging, due to incorporation of several cameras.
Outcomes and Deliverables:
The major outcomes of the project are:
The deliverables of the projects include:
Pre-requisites Required for Student: