The extensive availability of hardware devices and intensive expansion their computing power have been the catalyst behind the rapid development of computer vision. In this project, an implementation of object tracking in an inexpensive and small embedded system platform is presented. The tracking system comprised of two Raspberry Pis with two different cameras used: a webcam and Raspicam module.
Three communication connection models of the system are discussed in this paper for establishing communication between the two Raspberry Pis. Data sharing between these two hardware platforms is the proposed solution for resolving the limited processing power each platform possesses. The SimpleCV, an open source framework that provides free computer vision libraries that is useful for object detection and tracking algorithm development
