Title :
Very fast visual tracking algorithm using scanlines
Author :
Park, S.W. ; Lee, C.S.G.
Author_Institution :
Dept. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
Scanlines, which are specifically processed rows or columns of a digital camera image, are used to develop a very fast visual tracking algorithm. The bottleneck of any visual robot tracking system is the large amount of data processed by the vision system in order to determine the pose (position and orientation) of an object moving in space. Scanlines provide a means of using minimal (if not the minimum) amount of information necessary for pose determination; thereby, increasing the sensor response time and the tracking speed. The scanline-based algorithm is developed to track the 6-dimensional pose of regular polygonal objects such as squares, triangles, and circles. Experimental verifications are provided for a single-camera and a dual-camera system
Keywords :
feature extraction; motion estimation; object recognition; optical tracking; robot vision; sensor fusion; digital camera image; motion estimation; polygonal object recognition; robot vision; scanlines; sensor fusion; sensor response time; visual tracking algorithm; Cameras; Electronic mail; Information processing; Intelligent sensors; Machine vision; Orbital robotics; Robot sensing systems; Robot vision systems; Sensor systems; Uncertainty;
Conference_Titel :
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-1965-6
DOI :
10.1109/ROBOT.1995.525657