INSPEC 4784612 C9411-5260B-245
 Doc Type:     Conference Paper
 Title:        Automatic road sign detection and classification from
               color image sequences
 Authors:      Nicchiotti, G.; Ottaviani, E.; Castello, P.; Piccioli, G.
 Affiliation:  Res. & Dev. Dept., Elsag Bailey, Genova, Italy
 Conf. Title:  Proceedings of the 7th International Conference on Image
               Analysis and Processing. Progress in Image Analysis and
               Processing III
               p. 623-6
 Editors:      Impedovo, S.
 Publisher:    World Scientific
               Singapore
               Date: 1994  xxiv+733 pp.
               Country of Publication: Singapore
               ISBN: 981 02 1552 5
 Language:     English
               Conf. Date: 20-22 Sept. 1993
               Conf. Loc: Monopoli, Italy
 Treatment:    Practical
 Abstract:     Two possible methodological approaches for the automatic
   extraction of road signs from color image sequences and their
   classification are presented: the first relies on the techniques of
   shape detection and recognition, the second is based on color
   segmentation. (4 Refs.)
 Classification: C5260B (Computer vision and image processing
   techniques); C7890 (Other special applications of computing)
 Thesaurus: Colour; Feature extraction; Image recognition; Image
   segmentation; Image sequences; Road traffic
 Free Terms: Automatic road sign detection; Automatic road sign
   classification; Color image sequences; Automatic extraction; Shape
   detection; Shape recognition; Color segmentation



 INSPEC 4620268 B9404-8520B-006 C9404-5260B-220
 Doc Type:     Conference Paper in Journal
 Title:        Optical roadsign recognition to improve active safety
               features
 Authors:      Guibert, L.; Keryer, G.; Attia, M.
 Affiliation:  Groupe Optique et Syst. de Commun., Telecom Bretagne,
               Brest, France
 Journal:      Proceedings of the SPIE - The International Society for
               Optical Engineering
               Vol: 1959  p. 230-4
               Date: 1993
               Country of Publication: USA
               ISSN: 0277-786X  CODEN: PSISDG
               CCC: 0 8194 1195 7/93/$6.00
 Language:     English
 Conf. Title:  Optical Pattern Recognition IV
               Conf. Date: 13-14 April 1993
               Conf. Loc: Orlando, FL, USA
               Conf. Sponsor: SPIE
 Treatment:    Practical; Experimental
 Abstract:     Recent advances in coupling liquid crystal spatial light
   modulators (SLMs) with silicon VLSI chips have opened new
   opportunities in optical parallel processing and computing. It is now
   possible to construct compact, reliable, and reconfigurable optical
   hardware for industrial use. The authors have chosen the task of road
   sign recognition, with emphasis on speed limit signs, to demonstrate
   the feasibility of such an optical processor which uses fast
   switching elements based on ferroelectric liquid crystal technology.
   (4 Refs.)
 Classification: B8520B (Automobile electronics); B6140C (Optical
   information and image processing); B4180 (Optical logic devices and
   optical computing techniques); B4150D (Liquid crystal devices); B4270
   (Integrated optoelectronics); C5260B (Computer vision and picture
   processing); C5270 (Optical computing techniques); C5530 (Pattern
   recognition and computer vision equipment)
 Thesaurus: Automotive electronics; Image recognition; Integrated
   optoelectronics; Liquid crystal devices; Optical correlation; Pattern
   recognition equipment; Safety systems; Spatial light modulators
 Free Terms: Optical parallel architectures; On-board safety features;
   Complex dynamic scene analysis; Autonomous system; Joint transform
   correlation; Pattern recognition; Liquid crystal spatial light
   modulators; VLSI chips; Reconfigurable optical hardware; Road sign
   recognition; Speed limit signs; Optical processor; Fast switching
   elements; Ferroelectric liquid crystal technology