Actively controlled multiple-sensor system for feature extraction

Michael J. Daily; Teresa M. Silberberg

doi:10.1117/12.46474

1 August 1991 Actively controlled multiple-sensor system for feature extraction

Michael J. Daily, Teresa M. Silberberg

Proceedings Volume 1472, Image Understanding and the Man-Machine Interface III; (1991) https://doi.org/10.1117/12.46474
Event: Orlando '91, 1991, Orlando, FL, United States

Abstract

Typical vision systems which attempt to extract features from a visual image of the world for the purposes of object recognition and navigation are limited by the use of a single sensor and no active sensor control capability. To overcome limitations and deficiencies of rigid single sensor systems, more and more researchers are investigating actively controlled, multisensor systems. To address these problems, we have developed a self-calibrating system which uses active multiple sensor control to extract features of moving objects. A key problem in such systems is registering the images, that is, finding correspondences between images from cameras of differing focal lengths, lens characteristics, and positions and orientations. The authors first propose a technique which uses correlation of edge magnitudes for continuously calibrating pan and tilt angles of several different cameras relative to a single camera with a wide angle field of view, which encompasses the views of every other sensor. A simulation of a world of planar surfaces, visual sensors, and a robot platform used to test active control for feature extraction is then described. Motion in the field of view of at least one sensor is used to center the moving object for several sensors, which then extract object features such as color, boundary, and velocity from the appropriate sensors. Results are presented from real cameras and from the simulated world.

Citation Download Citation

Michael J. Daily and Teresa M. Silberberg "Actively controlled multiple-sensor system for feature extraction", Proc. SPIE 1472, Image Understanding and the Man-Machine Interface III, (1 August 1991); https://doi.org/10.1117/12.46474

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available