Speaker – C.A. Tahiya Nou-Shene
Mobile robots are used for search and rescue purposes in emergency informatics. The robots typically carry a vision system to gather information about the environment and pass on to remotely-located rescue teams. When the robot moves, in view of the uneven nature of the terrain, the camera is subjected to vibrations and as a result, the transmitted videos tend to be unclear. Further, real-time data collection and processing are critical for quick action by rescue personnel. In this work, we explore a robust and high-performance approach for video stabilization based on the Speeded-Up Robust Features (SURF) descriptor. A VLSI architecture has been designed and the architecture has been ported on to a Field Programmable Gate Array (FPGA) for real-time video stabilization on a mobile robot. Some experiments will be presented.