Accession Number : ADA299512
Title : The Role of Fixation and Visual Attention in Object Recognition.
Descriptive Note : Technical rept.,
Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB
Personal Author(s) : Ratan, Aparna L.
PDF Url : ADA299512
Report Date : JAN 1995
Pagination or Media Count : 102
Abstract : This research project is a study of the role of fixation and visual attention in object recognition. In this project, we build an active vision system which can recognize a target object in a cluttered scene efficiently and reliably. Our system integrates visual cues like color and stereo to perform figure/ground separation, yielding candidate regions on which to focus attention. Within each image region, we use stereo to extract features that lie within a narrow disparity range about the fixation position. These selected features are then used as input to an Alignment-style recognition system. We show that visual attention and fixation significantly reduce the complexity and the false identifications in model-based recognition using Alignment methods. We also demonstrate that stereo can be used effectively as a figure/ground separator without the need for accurate camera calibration.
Descriptors : *PATTERN RECOGNITION, *ARTIFICIAL INTELLIGENCE, *COMPUTER VISION, *VISUAL PERCEPTION, GROUND LEVEL, ACCURACY, TARGETS, REGIONS, ALIGNMENT, IMAGES, CAMERAS, RECOGNITION, SEPARATION, CALIBRATION, VISION, ATTENTION, CUES(STIMULI), SEPARATORS.
Subject Categories : Psychology
Human Factors Engineering & Man Machine System
Distribution Statement : APPROVED FOR PUBLIC RELEASE