Title :
CoViS: An amphibious computer vision system
Author :
Kadarusman, Jason ; Sehgal, Anuj ; Garvit, Kumar ; Shah, Parth ; Singh, Puneet
Author_Institution :
Indian Underwater Robotics Soc., Noida
Abstract :
This paper presents, CoViS, a low-cost real-time amphibious optical computer vision system based on a modified 4-connectivity approach that scans acquired frames from a video stream for a target hue range and then applies a few advanced techniques of image processing to the video as well. The relatively fast and inexpensive system provides Cartesian coordinates for the tracked object, making the system an option for unmanned amphibious vehicles to acquire, track and recognize objects.
Keywords :
mobile robots; object recognition; remotely operated vehicles; robot vision; target tracking; underwater vehicles; video streaming; CoViS amphibious optical computer vision system; cartesian coordinate; image processing; mobile robot; object recognition; object tracking; target hue range; underwater/ terrestrial vehicle system; unmanned amphibious vehicle; video stream; Computer vision; Image analysis; Marine vehicles; Optical computing; Optical control; Optical refraction; Optical sensors; Real time systems; Robot kinematics; Target tracking;
Conference_Titel :
Control & Automation, 2007. MED '07. Mediterranean Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-1282-2
Electronic_ISBN :
978-1-4244-1282-2
DOI :
10.1109/MED.2007.4433654
