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|z 95154703
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|a OCLCE
|b eng
|e pn
|c OCLCE
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|a 300733979
|a 894227301
|a 974617273
|a 1100957869
|a 1302552779
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|a 9781483290256
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|a 1483290255
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|z 0444814671
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|z 9780444814678
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|a (OCoLC)604851778
|z (OCoLC)300733979
|z (OCoLC)894227301
|z (OCoLC)974617273
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|a dlr
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|a TA1637
|b .T48 1994
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|a TEC
|x 009070
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|a Time-varying image processing and moving object recognition, 3 :
|b proceedings of the 4th international workshop, Florence, Italy, June 10-11, 1993 /
|c edited by V. Cappellini.
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|a Amsterdam ;
|a New York :
|b Elsevier,
|c �1994.
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|a 1 online resource (xiii, 429 pages) :
|b illustrations (some color)
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Includes bibliographical references and index.
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|3 Use copy
|f Restrictions unspecified
|2 star
|5 MiAaHDL
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|a Electronic reproduction.
|b [Place of publication not identified] :
|c HathiTrust Digital Library,
|d 2010.
|5 MiAaHDL
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|a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
|u http://purl.oclc.org/DLF/benchrepro0212
|5 MiAaHDL
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|a digitized
|c 2010
|h HathiTrust Digital Library
|l committed to preserve
|2 pda
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|a Print version record.
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|a Front Cover; Time-Varying Image Processing and Moving Object Recognition, 3; Copyright Page; Preface; Table of Contents; PART A: DIGITAL PROCESSING METHODS AND TECHNIQUES; Chapter 1. Fast Approximate Calculation of the Two-Dimensional Discrete Fourier Transform; 1. INTRODUCTION; 2. POLYPHASE DECOMPOSITION OF 2-D SEQUENCES AND ITS GENERALIZATION; 3. EFFICIENT APPROXIMATE 2-0 DFT COMPUTATION; 4. AN IMAGE PROCESSING APPLICATION; 5. CONCLUDING REMARKS; Acknowledgments; References; Chapter 2. A constant-geometry multidimensional FFT; 1. Introduction; 2. Background and problem statement
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|a 3. A parallel/sequential M-D Cooley-Tukey FFT4. Constant-geometry characteristic; Acknowledgement; References; Chapter 3. Estimation of the Measurement Covariance Matrix in a Kaiman Filter; 1 INTRODUCTION; 2 OVERVIEW OF THE KALMAN FILTER; 3 THE MEASUREMENT UNCERTAINTY; 4 ESTIMATION OF THE MEASUREMENT COVARIANCE MATRIX; 5 EXPERIMENTAL RESULTS; 6 CONCLUSION; REFERENCES; Chapter 4. Real-Time Computation of Statistical Moments on Binary Images UsingBlock Representation; 1. INTRODUCTION; 2. BLOCK REPRESENTATION; 3. GEOMETRICAL MOMENTS; 4. COMPUTATIONAL COMPLEXITY; 5. CONCLUSIONS; REFERENCES
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|a 1. INTRODUCTION2. GEOMETRICAL CORRELATION FUNCTIONS (GCFs); 3. SHAPE-RECOGNITION BASED ON THE GCF; 4. EXPERIMENTAL RESULTS; 5. SUMMARY; REFERENCES; Chapter 8. Spotting Recognition of Human Gestures from Motion Images; 1. INTRODUCTION; 2. SYSTEM STRUCTURE; 3. FEATURE EXTRACTION; 4. STANDARD SEQUENCE PATTERN; 5. SPOTTING RECOGNITION; 6. EXPERIMENTS; 7. CONSIDERATION; 8. CONCLUSION; ACKNOWLEDGEMENTS; REFERENCES; PART C: IMAGE RESTORATION; Chapter 9. Motion-compensated filtering of noisy image sequences; 1. INTRODUCTION; 2. CLASSIFICATION OF METHODS; 3. NON MOTION-COMPENSATED TECHNIQUES
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|a 4. TECHNIQUES USING REGULAR MOTION ESTIMATION5. TECHNIQUES USING NOISE ROBUST MOTION ESTIMATION; 6. FUTURE DEVELOPMENTS; 7. CONCLUSIONS; REFERENCES; Chapter 10. Even-median filters for noisy image restoration; 1. INTRODUCTION; 2. EVEN MEDIAN FILTERS; 3. DUAL-CHANNEL ITERATIVE SCHEME; 4. EXPERIMENTAL RESULTS AND COMPARISONS; 5. CONCLUDING REMARKS; REFERENCES; Chapter 11. Global Probabilistic Reinforcement of Straight Segments; 1. INTRODUCTION; 2. DESCRIPTION OF THE APPROACH; 3. DISTRIBUTED PROBABILISTIC INFERENCE; 4. RESULTS; 5. CONCLUSIONS; 6. ACKNOWLEDGEMENTS; 7. REFERENCES
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|a In the area of Digital Image Processing the new area of ""Time-Varying Image Processing and Moving Oject Recognition"" is contributing to impressive advances in several fields. Presented in this volume are new digital image processing and recognition methods, implementation techniques and advanced applications such as television, remote sensing, biomedicine, traffic, inspection, and robotics. New approaches (such as digital transforms, neural networks) for solving 2-D and 3-D problems are described. Many papers concentrate on motion estimation and recognition i.e. tracking of moving objects. O.
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|a Image processing
|x Digital techniques
|v Congresses.
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|a Optical pattern recognition
|v Congresses.
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|a Traitement d'images
|0 (CaQQLa)201-0118646
|x Techniques num�eriques
|0 (CaQQLa)201-0118646
|v Congr�es.
|0 (CaQQLa)201-0378219
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|a Reconnaissance optique des formes (Informatique)
|0 (CaQQLa)201-0068806
|v Congr�es.
|0 (CaQQLa)201-0378219
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|a TECHNOLOGY & ENGINEERING
|x Mechanical.
|2 bisacsh
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|a Image processing
|x Digital techniques
|2 fast
|0 (OCoLC)fst00967508
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|a Optical pattern recognition
|2 fast
|0 (OCoLC)fst01046784
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|a Patroonherkenning.
|2 gtt
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|a Congress
|0 (DNLM)D016423
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|a proceedings (reports)
|2 aat
|0 (CStmoGRI)aatgf300027316
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|a Conference papers and proceedings
|2 fast
|0 (OCoLC)fst01423772
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|a Conference papers and proceedings.
|2 lcgft
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|a Actes de congr�es.
|2 rvmgf
|0 (CaQQLa)RVMGF-000001049
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|a Cappellini, Vito.
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|i Print version:
|t Time-varying image processing and moving object recognition, 3.
|d Amsterdam ; New York : Elsevier, �1994
|w (DLC) 95154703
|w (OCoLC)33245503
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856 |
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|u https://sciencedirect.uam.elogim.com/science/book/9780444814678
|z Texto completo
|