DocumentCode :
1223592
Title :
Dynamic-scene and motion analysis using passive sensors. II. Displacement-field and feature-based approaches
Author :
Bhanu, Bir ; Nevatia, Ramakant ; Riseman, Edward M.
Author_Institution :
Coll. of Eng., California Univ., Riverside, CA, USA
Volume :
7
Issue :
1
fYear :
1992
fDate :
2/1/1992 12:00:00 AM
Firstpage :
53
Lastpage :
64
Abstract :
For pt.I see ibid., vol.7, no.1, p.45-52 (1992). Dynamic-scene and motion analysis techniques developed to support the DARPA Strategic Computing program´s autonomous land vehicle effort are described. Motion-understanding techniques using displacement fields, 3-D motion and structures, and feature correspondence, which show promise, are discussed, and the issues to be addressed and problems to be solved before robust dynamic-scene and motion analysis is achieved are examined
Keywords :
computer vision; computerised pattern recognition; computerised picture processing; mobile robots; 3-D motion; DARPA Strategic Computing program´s autonomous land vehicle effort; displacement fields; dynamic scene analysis; feature correspondence; motion analysis; passive sensors; Displacement measurement; Filtering; Frequency; Image motion analysis; Motion analysis; Optical computing; Optical filters; Optical sensors; Pixel; Shape;
fLanguage :
English
Journal_Title :
IEEE Expert
Publisher :
ieee
ISSN :
0885-9000
Type :
jour
DOI :
10.1109/64.120688
Filename :
120688
Link To Document :
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