Embedded System for Multiple-view Tracking
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 the hardware needed for a multi-view tracking algorithm. The structure of the system includes two spherical robots, each of them equipped with several cameras distributed over their surfaces. The systems includes also some other sensors such as inertial sensor, barometers etc. The intention is to design the hardware capable of acquiring data from the multiple cameras and the other sensors in an embedded system.
Outcomes and Deliverables:
The major outcomes of the project are:
The deliverables of the projects include:
Pre-requisites Required for Student: