how do we make a good input image?

( )Engineering Information Abstracts Part I 467

MA, USA. Sponsored by: IEEE Piscataway NJ USA. p 177-182CODEN: 002845Publication Year: 1997Abstract: This paper presents the results of work PlanningSystems Inc. performed in fulfillment of the requirements of a

Ž .Small Business Innovative Research SBIR Phase I feasibilityŽ .study for the Federal Highway Administration FHWA . The

feasibility of developing an acoustic sensing technique toŽreplace the current electromechanical loop detector, tape

.switch, pneumatic tube based methods of collecting vehicleaxle passages was investigated. We exploit the fact that thedominate source of road noise is the broadband acousticenergy radiated by vehicle tires by cross-correlating the out-puts of spatially separated roadside microphones. The resultsdemonstrate the feasibility of detecting vehicle passages bythe cross correlation processing of radiated tire noise. Thetechnique is based on technology developed as a consequenceof our work in underwater acoustic signal processing. In

Ž .English Author abstract 6 Refs. EI Order Number:98044175256Keywords: Intelligent vehicle highway systems; Motortransportation; Acoustic noise; Tires; Sensors; Microphones;Correlation theory; Acoustic signal processing; Highway trafficcontrol

Title: AUTOMATIC TRAFFIC MONITORING BY INTELLI-GENT SOUND DETECTION

( )Author s : Chen, S.; Sun, Z.P.; Bridge, B.Source: Proceedings of the 1997 IEEE Conference on Intelli-gent Transportation Systems, ITSC Nov 9-12 1997 Boston,MA, USA. Sponsored by: IEEE Piscataway NJ USA. p 171-176CODEN: 002845Publication Year: 1997Abstract: A novel traffic sensing technique is described whichutilizes a microphone array to detect the sound waves gener-ated by the road vehicles. The detected are then digitized andprocessed by an on-site computer using a correlation basedalgorithm, which extracts key data reflecting the road trafficconditions, e.g. the speed and density of vehicles on the road,automatically on-site. In comparison with existing traffic sen-sors, the proposed system offers lower installation and mainte-nance costs and is less intrusive to the surrounding builtenvironment. The results of theoretical analysis, computersimulation and some preliminary experiments are presented.

Ž .In English Author abstract 4 Refs. EI Order Number:98044175255Keywords: Highway traffic control; Microphones; Acousticwaves; Digital signal processing; Acoustic signal processing;Feature extraction; Computer simulation; Correlation theory;Algorithms; Sensors

Title: PROTECTION AGAINST JAMMING IN A SERVOSYSTEM OF OPTICAL RECORDERS

( )Author s : Ryabokon, Igor P.; Ataev, Viktor A.; Morozovsky,Oleg Y.Source: Proceedings of SPIE - The International Society forOptical Engineering Int. Conference on Optical Storage,

Imaging, and Transmission of Information May 14 1996 v 3055Kiev, Ukraine Sponsored by: SPIE - Int Soc for Opt Engineer-ing, Bellingham, WA USA. Society of Photo-Optical Instru-mentation Engineers Bellingham WA USA. p 259-263 ISSN:0277-786X CODEN: PSISDG ISBN: 0-8194-2470-6Publication Year: 1997Abstract: Anti-jamming processing of optoelectronic detectorsignals, ensures control system invariance to change of laserpower, dispersion of reflection from layer and presence ofinformation pits. Logarithm amplification of photodetectorcurrents stabilizes steepness of their characteristics at change

Ž .of laser power more than 10 times and factor of reflectionŽ .from surface 3 times . Besides, sections of tracing signal are

chosen, which are located in intervals between informationpits and free from recording. This measures increased focus-ing and tracking accuracy 2 - 3 times. In English 3 Refs. EIOrder Number: 97093812623Keywords: Optical recording; Optical data storage; Optoelec-tronic devices; Control systems; Servomechanisms; Photode-tectors

Title: HOW DO WE MAKE A GOOD INPUT IMAGE?( )Author s : Monroe, Stanley E. Jr.; Juday, Richard D.

Source: Proceedings of SPIE - The International Society forOptical Engineering Optical Pattern Recognition VIII Apr22-23 1997 v 3073 Orlando, FL, USA Sponsored by: SPIE - IntSoc for Opt Engineering, Bellingham, WA USA. Society ofPhoto-Optical Instrumentation Engineers Bellingham WAUSA. p 232-242 ISSN: 0277-786X CODEN: PSISDG ISBN:0-8194-2488-9Publication Year: 1997Abstract: We investigate some methods of transforming anelectronic video image prior to inserting it into an opticalcorrelator. In order that the results might be implemented asa video transfer function, we do only point operations. Weconsider the input characteristics of the input SLM and laosthe statistics of the input image. We model the correlator asnoiseless, and we evaluate the transformations by tow metrics:correlation intensity and peak-to- correlation-energy. In En-glish EI Order Number: 97093812924Keywords: Video signal processing; Image processing; Opticalcorrelation; Correlation detectors; Transfer functions; Lightmodulators; Statistical methods

Title: COMBINED OPTICAL AND NEURAL NETWORKFINGERPRINT MATCHING

( )Author s : Wilson, Charles L.; Watson, C.I.; Paek, Eung GiSource: Proceedings of SPIE - The International Society forOptical Engineering Optical Pattern Recognition VIII Apr22-23 1997 v 3073 Orlando, FL, USA Sponsored by: SPIE - IntSoc for Opt Engineering, Bellingham, WA USA. Society ofPhoto-Optical Instrumentation Engineers Bellingham WAUSA. p 373-382 ISSN: 0277-786X CODEN: PSISDG ISBN:0-8194-2488-9Publication Year: 1997Abstract: This paper presents results on direct optical match-ing of inked and real-time fingerprint images. Direct optical