Accession Number : ADA271686

Title :   Visual Tracking.

Descriptive Note : Memorandum rept.,

Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB

Personal Author(s) : Taalebinezhaad, M. A.

Report Date : OCT 1992

Pagination or Media Count : 16

Abstract : A typical robot vision scenario might involve a vehicle moving with an unknown 3D motion (translation and rotation) while taking intensity images of an arbitrary environment. This paper describes the theory and implementation issues of tracking any desired point in the environment. This method is performed completely in software without any need to mechanically move the camera relative to the vehicle. This tracking technique is simple and inexpensive. Furthermore, it does not use either optical flow or feature correspondence. Instead, the spatio-temporal gradients of the input intensity images are used directly. The experimental results presented support the idea of tracking in software. The final result is a sequence of tracked images where the desired point is kept stationary in the images independent of the nature of the relative motion. Finally, the quality of these tracked images are examined using spatio-temporal gradient maps.

Descriptors :   *ROBOTS, *COMPUTER VISION, *OPTICAL TRACKING, IMAGE MOTION COMPENSATION, COMPUTER PROGRAMS, THREE DIMENSIONAL, PIXELS, INTERPOLATION, MAPS.

Subject Categories : Cybernetics
      Optical Detection and Detectors

Distribution Statement : APPROVED FOR PUBLIC RELEASE