Intelligent distributed video surveillance systems:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
Inst. of Electrical Engineers
2006
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| Schriftenreihe: | IEE professional applications of computing series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Publisher description Inhaltsverzeichnis Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references and index. - "The book consists of a coherent selection of extended versions of presentations made in two successful IEE symposia on Intelligent Distributed Surveillance Systems (IDSS)."--cover |
| Beschreibung: | xvii, 282 p. Ill., graph. Darst. 24 cm |
| ISBN: | 0863415040 9780863415043 |
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| 650 | 4 | |a Human behavior | |
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| adam_text | CONTENTS FOREWORD XI AUTHORS AND CONTRIBUTORS XV 1 A REVIEW OF THE
STATE-OF-THE-ART IN DISTRIBUTED SURVEILLANCE SYSTEMS 1 M. VALERA AND S.
A. VELASTIN 1.1 INTRODUCTION 1 1.2 APPLICATIONS 3 1.3 TECHNIQUES USED IN
SURVEILLANCE SYSTEMS 4 1.3.1 OBJ ECT DETECTION 5 1.3.2 OBJECT
RECOGNITION, TRACKING AND PERFORMANCE EVALUATION 7 1.3.3 BEHAVIOURAL
ANALYSIS 8 1.3.4 DATABASE 9 1.4 REVIEW OF SURVEILLANCE SYSTEMS 10 1.4.1
THIRD GENERATION SURVEILLANCE SYSTEMS 10 1.4.2 GENERAL REQUIREMENTS OF
THIRD GENERATION OF SURVEILLANCE SYSTEMS 10 1.4.3 EXAMPLES OF
SURVEILLANCE SYSTEMS 11 1.5 DISTRIBUTION, COMMUNICATION AND SYSTEM
DESIGN 22 1.6 CONCLUSIONS 23 ACKNOWLEDGEMENTS 24 REFERENCES 24 2
MONITORING PRACTICE: EVENT DETECTION AND SYSTEM DESIGN 31 M. S.
SVENSSON, C. HEATH AND P. LUFF 2.1 INTRODUCTION 31 2.2 SETTING THE
SCENE: OPERATION ROOMS 33 2.3 REVEALING PROBLEMS 34 VI CONTENTS 2.4
OFF-THE-WORLD 36 2.5 COMBINING VIEWS 37 2.6 TRACKING PROBLEMS:
COORDINATING ACTIVITIES 39 2.7 DEPLOYING IMAGE PROCESSING SYSTEMS:
IMPLICATIONS FOR DESIGN 43 2.7.1 DRAWING UPON LOCAL KNOWLEDGE 44 2.7.2
COMBINING IMAGES AND DATA 47 2.7.3 DISPLAYING EVENTS: REVEALING PROBLEMS
49 2.8 SUMMARY AND CONCLUSION 52 ACKNOWLEDGEMENTS 53 REFERENCES 54 A
DISTRIBUTED DATABASE FOR EFFECTIVE MANAGEMENT AND EVALUATION OF CCTV
SYSTEMS 55 J. BLACK, T. ELLIS AND D. MAKRIS 3.1 INTRODUCTION 55 3.2
BACKGROUND 56 3.2.1 MULTI-VIEW TRACKING SYSTEMS 56 3.2.2 VIDEO
ANNOTATION AND EVENT DETECTION 56 3.2.3 SCENE MODELLING 59 3.3 OFF-LINE
LEARNING 60 3.3.1 SEMANTIC SCENE MODEIS 60 3.3.2 CAMERA TOPOLOGY 61 3.4
DATABASE DESIGN 61 3.4.1 DATA ABSTRACTION AND REPRESENTATION 61 3.5
VIDEO SUMMARIES AND ANNOTATION 66 3.6 PERFORMANCE EVALUATION 70 3.7
PSEUDO-SYNTHETIC VIDEO 72 3.7.1 GROUND TRUTH TRACK SELECTION 73 3.7.2
PSEUDO-SYNTHETIC VIDEO GENERATION 74 3.7.3 PERCEPTUAL COMPLEXITY 77
3.7.4 SURVEIILANCE METRICS 78 3.8 EXPERIMENTS AND EVALUATION 81 3.8.1
SINGLE-VIEW TRACKING EVALUATION (QUALITATIVE) 81 3.8.2 SINGLE-VIEW
TRACKING EVALUATION (QUANTITATIVE) 82 3.9 SUMMARY 87 REFERENCES 87 A
DISTRIBUTED DOMOTIC SURVEIILANCE SYSTEM 91 R. CUCCHIARA, C. GRANA, A.
PRATI AND R. VEZZANI 4.1 INTRODUCTION 91 4.2 PEOPLE SEGMENTATION FOR
IN-HOUSE SURVEIILANCE 95 4.3 PEOPLE TRACKING HANDLING OCCLUSIONS 98
CONTENTS VII 5.1 5.2 5.3 INTRODUCTION OBJECTIVES SYSTEM OVERVIEW AND
DESCRIPTION OF COMPONENTS 5.3.1 5.3.2 5.3.3 5.3.4 5.3.5 HARDWARE
ACQUISITION CODEC NETWORK STORAEE 4.4 POSTURE CLASSIFICATION IN
DEFORMABLE MODEIS WITH TEMPORAL COHERENCE 102 4.4.1 SUPPORT POINT
TRACKING 105 4.4.2 TEMPORAL COHERENCE POSTURE CLASSIFIER 107 4.5
MULTI-CAMERA SYSTEM MANAGEMENT 108 4.6 UNIVERSAL MULTIMEDIA ACCESS TO
INDOOR SURVEILLANCE DATA 112 4.7 CONCLUSIONS 114 REFERENCES 1 17 A
GENERAL-PURPOSE SYSTEM FOR DISTRIBUTED SURVEILLANCE AND COMMUNICATION
121 X. DESURMONT, A. BASTIDE, J. CZYZ, C. PARISOT, J-F. DELAIGLE AND B.
MACQ 121 122 123 124 125 125 125 125 5.4 SOFTWARE ARCHITECTURE AND
MIDDLEWARE 126 5.4.1 CONTEXT 126 5.4.2 BASIC ARCHITECTURE AND CONCEPT
126 5.4.3 SYSTEM AND MIDDLEWARE INTEGRATION 128 5.5 COMPUTER VISION 131
5.5.1 CONTEXT ACQUISITION 132 5.5.2 IMAGE PRE-FILTERING 134 5.5.3
BOTTOM-UP TRACKING 135 5.5.4 TOP-DOWN TRACKING 143 5.5.5 TRACKING
ANALYSIS AND EVENT GENERATION 147 5.5.6 METADATA INFORMATION 147 5.5.7
SUMMARY 148 5.6 RESULTS AND PERFORMANCE 149 5.7 APPLICATION CASE STUDY
151 5.8 CONCLUSIONS 152 ACKNOWLEDGEMENTS 152 REFERENCES 153 TRACKING
OBJECTS ACROSS UNCALIBRATED, ARBITRARY TOPOLOGY CANIERA NETWORKS 157 R.
BOWDEN, A. GILBERT AND P. KAEWTRAKULPONG 6.1 INTRODUCTION 157 6.2
PREVIOUS WORK 158 VIII CONTENTS 6.3 OVERVIEW 159 6.4 OBJECT DETECTION
MODULE 161 6.4.1 BACKGROUND MODELLING 161 6.4.2 SHADOW ELIMINATION 163
6.5 OBJECT TRACKING MODULE 163 6.5.1 TARGET MODEL 164 6.5.2 DATA
ASSOCIATION MODULE 164 6.5.3 STOCHASTIC SAMPLING SEARCH 167 6.5.4
TRAJECTORY MAINTENANCE MODULE 167 6.6 COLOUR SIMILARITY 168 6.7 RELATING
POSSIBLE REAPPEARING TARGETS 170 6.7.1 PATH EXTRACTION 172 6.7.2
LINKINGPATHS 172 6.8 PATH-BASED TARGET RECOGNITION 174 6.9 LEARNING AND
RECOGNISING TRAJECTORY PATTERNS ACROSS CAMERA VIEWS 177 6.10 SUMMARY AND
CONCLUSIONS 182 REFERENCES 182 A DISTRIBUTED MULTI-SENSOR SURVEILLANCE
SYSTEM FOR PUBLIC TRANSPORT APPLICATIONS 185 J-L. BRUYELLE, L. KHOUDOUR,
D. AUBERT, T. LECLERCQ AND A. FLANCQUART 7.1 INTRODUCTION 185 7.1.1
GENERAL ARCHITECTURE OFTHE SYSTEM 186 7.2 APPLICATIONS 187 7.2.1
INCIDENT DETECTION FUNCTIONS 187 7.2.2 PASSENGER FLOW MEASUREMENT
FUNCTIONS 187 7.3 INTRUSIONS INTO FORBIDDEN OR DANGEROUS AREAS 187 7.3.1
CAMERA SET-UP - DEFINING THE COVERED AREA 188 7.3.2 EXTRACTING THE
MOVING OBJECTS 188 7.3.3 DEFINING THE SIZE OF OBJECTS 190 7.3.4
FORBIDDEN AREA 191 7.3.5 USAGE OF THE NETWORK 192 7.3.6 TESTRESULTS 193
7.3.7 CONCLUSION 197 7.4 COUNTING OF PASSENGERS 198 7.4.1 COUNTING
SYSTEM OVERVIEW 198 7.4.2 PRINCIPLE OFTHE COUNTING SYSTEM 199 7.4.3
PASSENGERS COUNTING 200 7.4.4 LINE IMAGES SEQUENCE OF PEDESTRIANS 200
7.4.5 ALGORITHM USING STRUCTURING ELEMENTS OF VARYING SIZE AND SHAPE 201
7.4.6 IMPLEMENTING THE SYSTEM 202 CONTENTS IX 7.4.7 RESULTS 204 7.4.8
IMPLICATIONS AND FUTURE DEVELOPMENTS 208 7.5 DETECTION OF ABNORMAL
STATIONARITY 209 7.5.1 INTRODUCTION 209 7.5.2 STATIONARITY DETECTION
SYSTEM 210 7.5.3 STATIONARITY DETECTION ALGORITHM 213 7.5.4 RESULTS 215
7.6 QUEUE LENGTH MEASUREMENT 216 7.6.1 INTRODUCTION 216 7.6.2 THE QUEUE
MEASUREMENT SYSTEM 217 7.6.3 RESULTS 221 7.7 CONCLUSION 222
ACKNOWLEDGEMENTS 223 REFERENCES 224 8 TRACKING FOOTBALL PLAYERS WITH
MULTIPLE CAMERAS 225 D. THIRDE, M. XU AND J. ORWELL 8.1 INTRODUCTION 225
8.2 SYSTEM ARCHITECTURE 227 8.2.1 ARRANGEMENT OF SYSTEM COMPONENTS 227
8.2.2 SYNCHRONOUS FEATURE SETS 229 8.2.3 FORMAT OF FEATURE DATA 230 8.3
VIDEO PROCESSING 230 8.3.1 FOREGROUND DETECTION 230 8.3.2 SINGLE-VIEW
TRACKING 234 8.3.3 CATEGORY CLASSIFICATION 236 8.4 MULTI-VIEW,
MULTI-PERSON TRACKING 237 8.4.1 ASSOCIATING TARGETS AND FEATURES 237
8.4.2 TARGET INITIALISATION 239 8.5 STRATEGIES FOR SELECTION AND
CLASSIFICATION OF TRACKS 240 8.5.1 APPLICATION REQUIREMENTS 241 8.5.2
THE MAP LABELLING HYPOTHESIS 242 8.5.3 ESTIMATES FOR TARGET CATEGORIES
243 8.5.4 LOCAL FIXED POPULATION CONSTRAINTS 244 8.5.5 TECHNIQUES FOR
ERROR DETECTION AND CORRECTION 246 8.6 RESULTS 247 8.7 CONCLUSIONS 250
ACKNOWLEDGEMENTS 251 REFERENCES 251 9 A HIERARCHICAL MULTI-SENSOR
FRANIEWORK FOR EVENT DETECTION IN WIDE ENVIRONMENTS 253 G. L. FORESTI,
C. MICHELONI, L. SNIDARO AND C. PICIARELLI 9.1 INTRODUCTION 253 CONTENTS
9.2 9.3 9.4 9.5 9.6 SYSTEM DESCRIPTION ACTIVE TRACKING STATIC CAMERA
NETWORKS 9.4.1 TARGET TRACKING 9.4.2 POSITION FUSION 9.4.3 TRAJECTORY
FUSION EVENT RECOGNITION CONCLUSIONS REFERENCES EPILOGUE S.A. VELASTIN
254 256 261 261 263 266 266 268 268 271 INDEX 277
|
| adam_txt |
CONTENTS FOREWORD XI AUTHORS AND CONTRIBUTORS XV 1 A REVIEW OF THE
STATE-OF-THE-ART IN DISTRIBUTED SURVEILLANCE SYSTEMS 1 M. VALERA AND S.
A. VELASTIN 1.1 INTRODUCTION 1 1.2 APPLICATIONS 3 1.3 TECHNIQUES USED IN
SURVEILLANCE SYSTEMS 4 1.3.1 OBJ ECT DETECTION 5 1.3.2 OBJECT
RECOGNITION, TRACKING AND PERFORMANCE EVALUATION 7 1.3.3 BEHAVIOURAL
ANALYSIS 8 1.3.4 DATABASE 9 1.4 REVIEW OF SURVEILLANCE SYSTEMS 10 1.4.1
THIRD GENERATION SURVEILLANCE SYSTEMS 10 1.4.2 GENERAL REQUIREMENTS OF
THIRD GENERATION OF SURVEILLANCE SYSTEMS 10 1.4.3 EXAMPLES OF
SURVEILLANCE SYSTEMS 11 1.5 DISTRIBUTION, COMMUNICATION AND SYSTEM
DESIGN 22 1.6 CONCLUSIONS 23 ACKNOWLEDGEMENTS 24 REFERENCES 24 2
MONITORING PRACTICE: EVENT DETECTION AND SYSTEM DESIGN 31 M. S.
SVENSSON, C. HEATH AND P. LUFF 2.1 INTRODUCTION 31 2.2 SETTING THE
SCENE: OPERATION ROOMS 33 2.3 REVEALING PROBLEMS 34 VI CONTENTS 2.4
'OFF-THE-WORLD' 36 2.5 COMBINING VIEWS 37 2.6 TRACKING PROBLEMS:
COORDINATING ACTIVITIES 39 2.7 DEPLOYING IMAGE PROCESSING SYSTEMS:
IMPLICATIONS FOR DESIGN 43 2.7.1 DRAWING UPON LOCAL KNOWLEDGE 44 2.7.2
COMBINING IMAGES AND DATA 47 2.7.3 DISPLAYING EVENTS: REVEALING PROBLEMS
49 2.8 SUMMARY AND CONCLUSION 52 ACKNOWLEDGEMENTS 53 REFERENCES 54 A
DISTRIBUTED DATABASE FOR EFFECTIVE MANAGEMENT AND EVALUATION OF CCTV
SYSTEMS 55 J. BLACK, T. ELLIS AND D. MAKRIS 3.1 INTRODUCTION 55 3.2
BACKGROUND 56 3.2.1 MULTI-VIEW TRACKING SYSTEMS 56 3.2.2 VIDEO
ANNOTATION AND EVENT DETECTION 56 3.2.3 SCENE MODELLING 59 3.3 OFF-LINE
LEARNING 60 3.3.1 SEMANTIC SCENE MODEIS 60 3.3.2 CAMERA TOPOLOGY 61 3.4
DATABASE DESIGN 61 3.4.1 DATA ABSTRACTION AND REPRESENTATION 61 3.5
VIDEO SUMMARIES AND ANNOTATION 66 3.6 PERFORMANCE EVALUATION 70 3.7
PSEUDO-SYNTHETIC VIDEO 72 3.7.1 GROUND TRUTH TRACK SELECTION 73 3.7.2
PSEUDO-SYNTHETIC VIDEO GENERATION 74 3.7.3 PERCEPTUAL COMPLEXITY 77
3.7.4 SURVEIILANCE METRICS 78 3.8 EXPERIMENTS AND EVALUATION 81 3.8.1
SINGLE-VIEW TRACKING EVALUATION (QUALITATIVE) 81 3.8.2 SINGLE-VIEW
TRACKING EVALUATION (QUANTITATIVE) 82 3.9 SUMMARY 87 REFERENCES 87 A
DISTRIBUTED DOMOTIC SURVEIILANCE SYSTEM 91 R. CUCCHIARA, C. GRANA, A.
PRATI AND R. VEZZANI 4.1 INTRODUCTION 91 4.2 PEOPLE SEGMENTATION FOR
IN-HOUSE SURVEIILANCE 95 4.3 PEOPLE TRACKING HANDLING OCCLUSIONS 98
CONTENTS VII 5.1 5.2 5.3 INTRODUCTION OBJECTIVES SYSTEM OVERVIEW AND
DESCRIPTION OF COMPONENTS 5.3.1 5.3.2 5.3.3 5.3.4 5.3.5 HARDWARE
ACQUISITION CODEC NETWORK STORAEE 4.4 POSTURE CLASSIFICATION IN
DEFORMABLE MODEIS WITH TEMPORAL COHERENCE 102 4.4.1 SUPPORT POINT
TRACKING 105 4.4.2 TEMPORAL COHERENCE POSTURE CLASSIFIER 107 4.5
MULTI-CAMERA SYSTEM MANAGEMENT 108 4.6 UNIVERSAL MULTIMEDIA ACCESS TO
INDOOR SURVEILLANCE DATA 112 4.7 CONCLUSIONS 114 REFERENCES 1 17 A
GENERAL-PURPOSE SYSTEM FOR DISTRIBUTED SURVEILLANCE AND COMMUNICATION
121 X. DESURMONT, A. BASTIDE, J. CZYZ, C. PARISOT, J-F. DELAIGLE AND B.
MACQ 121 122 123 124 125 125 125 125 5.4 SOFTWARE ARCHITECTURE AND
MIDDLEWARE 126 5.4.1 CONTEXT 126 5.4.2 BASIC ARCHITECTURE AND CONCEPT
126 5.4.3 SYSTEM AND MIDDLEWARE INTEGRATION 128 5.5 COMPUTER VISION 131
5.5.1 CONTEXT ACQUISITION 132 5.5.2 IMAGE PRE-FILTERING 134 5.5.3
BOTTOM-UP TRACKING 135 5.5.4 TOP-DOWN TRACKING 143 5.5.5 TRACKING
ANALYSIS AND EVENT GENERATION 147 5.5.6 METADATA INFORMATION 147 5.5.7
SUMMARY 148 5.6 RESULTS AND PERFORMANCE 149 5.7 APPLICATION CASE STUDY
151 5.8 CONCLUSIONS 152 ACKNOWLEDGEMENTS 152 REFERENCES 153 TRACKING
OBJECTS ACROSS UNCALIBRATED, ARBITRARY TOPOLOGY CANIERA NETWORKS 157 R.
BOWDEN, A. GILBERT AND P. KAEWTRAKULPONG 6.1 INTRODUCTION 157 6.2
PREVIOUS WORK 158 VIII CONTENTS 6.3 OVERVIEW 159 6.4 OBJECT DETECTION
MODULE 161 6.4.1 BACKGROUND MODELLING 161 6.4.2 SHADOW ELIMINATION 163
6.5 OBJECT TRACKING MODULE 163 6.5.1 TARGET MODEL 164 6.5.2 DATA
ASSOCIATION MODULE 164 6.5.3 STOCHASTIC SAMPLING SEARCH 167 6.5.4
TRAJECTORY MAINTENANCE MODULE 167 6.6 COLOUR SIMILARITY 168 6.7 RELATING
POSSIBLE REAPPEARING TARGETS 170 6.7.1 PATH EXTRACTION 172 6.7.2
LINKINGPATHS 172 6.8 PATH-BASED TARGET RECOGNITION 174 6.9 LEARNING AND
RECOGNISING TRAJECTORY PATTERNS ACROSS CAMERA VIEWS 177 6.10 SUMMARY AND
CONCLUSIONS 182 REFERENCES 182 A DISTRIBUTED MULTI-SENSOR SURVEILLANCE
SYSTEM FOR PUBLIC TRANSPORT APPLICATIONS 185 J-L. BRUYELLE, L. KHOUDOUR,
D. AUBERT, T. LECLERCQ AND A. FLANCQUART 7.1 INTRODUCTION 185 7.1.1
GENERAL ARCHITECTURE OFTHE SYSTEM 186 7.2 APPLICATIONS 187 7.2.1
INCIDENT DETECTION FUNCTIONS 187 7.2.2 PASSENGER FLOW MEASUREMENT
FUNCTIONS 187 7.3 INTRUSIONS INTO FORBIDDEN OR DANGEROUS AREAS 187 7.3.1
CAMERA SET-UP - DEFINING THE COVERED AREA 188 7.3.2 EXTRACTING THE
MOVING OBJECTS 188 7.3.3 DEFINING THE SIZE OF OBJECTS 190 7.3.4
FORBIDDEN AREA 191 7.3.5 USAGE OF THE NETWORK 192 7.3.6 TESTRESULTS 193
7.3.7 CONCLUSION 197 7.4 COUNTING OF PASSENGERS 198 7.4.1 COUNTING
SYSTEM OVERVIEW 198 7.4.2 PRINCIPLE OFTHE COUNTING SYSTEM 199 7.4.3
PASSENGERS COUNTING 200 7.4.4 LINE IMAGES SEQUENCE OF PEDESTRIANS 200
7.4.5 ALGORITHM USING STRUCTURING ELEMENTS OF VARYING SIZE AND SHAPE 201
7.4.6 IMPLEMENTING THE SYSTEM 202 CONTENTS IX 7.4.7 RESULTS 204 7.4.8
IMPLICATIONS AND FUTURE DEVELOPMENTS 208 7.5 DETECTION OF ABNORMAL
STATIONARITY 209 7.5.1 INTRODUCTION 209 7.5.2 STATIONARITY DETECTION
SYSTEM 210 7.5.3 STATIONARITY DETECTION ALGORITHM 213 7.5.4 RESULTS 215
7.6 QUEUE LENGTH MEASUREMENT 216 7.6.1 INTRODUCTION 216 7.6.2 THE QUEUE
MEASUREMENT SYSTEM 217 7.6.3 RESULTS 221 7.7 CONCLUSION 222
ACKNOWLEDGEMENTS 223 REFERENCES 224 8 TRACKING FOOTBALL PLAYERS WITH
MULTIPLE CAMERAS 225 D. THIRDE, M. XU AND J. ORWELL 8.1 INTRODUCTION 225
8.2 SYSTEM ARCHITECTURE 227 8.2.1 ARRANGEMENT OF SYSTEM COMPONENTS 227
8.2.2 SYNCHRONOUS FEATURE SETS 229 8.2.3 FORMAT OF FEATURE DATA 230 8.3
VIDEO PROCESSING 230 8.3.1 FOREGROUND DETECTION 230 8.3.2 SINGLE-VIEW
TRACKING 234 8.3.3 CATEGORY CLASSIFICATION 236 8.4 MULTI-VIEW,
MULTI-PERSON TRACKING 237 8.4.1 ASSOCIATING TARGETS AND FEATURES 237
8.4.2 TARGET INITIALISATION 239 8.5 STRATEGIES FOR SELECTION AND
CLASSIFICATION OF TRACKS 240 8.5.1 APPLICATION REQUIREMENTS 241 8.5.2
THE MAP LABELLING HYPOTHESIS 242 8.5.3 ESTIMATES FOR TARGET CATEGORIES
243 8.5.4 LOCAL FIXED POPULATION CONSTRAINTS 244 8.5.5 TECHNIQUES FOR
ERROR DETECTION AND CORRECTION 246 8.6 RESULTS 247 8.7 CONCLUSIONS 250
ACKNOWLEDGEMENTS 251 REFERENCES 251 9 A HIERARCHICAL MULTI-SENSOR
FRANIEWORK FOR EVENT DETECTION IN WIDE ENVIRONMENTS 253 G. L. FORESTI,
C. MICHELONI, L. SNIDARO AND C. PICIARELLI 9.1 INTRODUCTION 253 CONTENTS
9.2 9.3 9.4 9.5 9.6 SYSTEM DESCRIPTION ACTIVE TRACKING STATIC CAMERA
NETWORKS 9.4.1 TARGET TRACKING 9.4.2 POSITION FUSION 9.4.3 TRAJECTORY
FUSION EVENT RECOGNITION CONCLUSIONS REFERENCES EPILOGUE S.A. VELASTIN
254 256 261 261 263 266 266 268 268 271 INDEX 277 |
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| id | DE-604.BV023080595 |
| illustrated | Illustrated |
| index_date | 2024-07-02T19:36:56Z |
| indexdate | 2024-07-09T21:10:33Z |
| institution | BVB |
| isbn | 0863415040 9780863415043 |
| language | English |
| lccn | 006285504 |
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| physical | xvii, 282 p. Ill., graph. Darst. 24 cm |
| publishDate | 2006 |
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| publisher | Inst. of Electrical Engineers |
| record_format | marc |
| series2 | IEE professional applications of computing series |
| spelling | Velastin, Sergio A. Verfasser aut Intelligent distributed video surveillance systems ed. by Sergio A. Velastin and Paolo Remagnino London Inst. of Electrical Engineers 2006 xvii, 282 p. Ill., graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier IEE professional applications of computing series Includes bibliographical references and index. - "The book consists of a coherent selection of extended versions of presentations made in two successful IEE symposia on Intelligent Distributed Surveillance Systems (IDSS)."--cover Computer vision Human behavior Imaging systems Optical pattern recognition Signal processing Video surveillance Videoüberwachung (DE-588)4758780-5 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content (DE-588)1071861417 Konferenzschrift gnd-content Videoüberwachung (DE-588)4758780-5 s Maschinelles Sehen (DE-588)4129594-8 s DE-604 Remagnino, Paolo Sonstige oth http://www.gbv.de/dms/ilmenau/toc/500413371velas.PDF lizenzfrei Inhaltsverzeichnis http://www.loc.gov/catdir/enhancements/fy0651/2006285504-d.html Publisher description lizenzfrei http://www.loc.gov/catdir/enhancements/fy0651/2006285504-t.html lizenzfrei Inhaltsverzeichnis GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016283647&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Velastin, Sergio A. Intelligent distributed video surveillance systems Computer vision Human behavior Imaging systems Optical pattern recognition Signal processing Video surveillance Videoüberwachung (DE-588)4758780-5 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| subject_GND | (DE-588)4758780-5 (DE-588)4129594-8 (DE-588)4143413-4 (DE-588)1071861417 |
| title | Intelligent distributed video surveillance systems |
| title_auth | Intelligent distributed video surveillance systems |
| title_exact_search | Intelligent distributed video surveillance systems |
| title_exact_search_txtP | Intelligent distributed video surveillance systems |
| title_full | Intelligent distributed video surveillance systems ed. by Sergio A. Velastin and Paolo Remagnino |
| title_fullStr | Intelligent distributed video surveillance systems ed. by Sergio A. Velastin and Paolo Remagnino |
| title_full_unstemmed | Intelligent distributed video surveillance systems ed. by Sergio A. Velastin and Paolo Remagnino |
| title_short | Intelligent distributed video surveillance systems |
| title_sort | intelligent distributed video surveillance systems |
| topic | Computer vision Human behavior Imaging systems Optical pattern recognition Signal processing Video surveillance Videoüberwachung (DE-588)4758780-5 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| topic_facet | Computer vision Human behavior Imaging systems Optical pattern recognition Signal processing Video surveillance Videoüberwachung Maschinelles Sehen Aufsatzsammlung Konferenzschrift |
| url | http://www.gbv.de/dms/ilmenau/toc/500413371velas.PDF http://www.loc.gov/catdir/enhancements/fy0651/2006285504-d.html http://www.loc.gov/catdir/enhancements/fy0651/2006285504-t.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016283647&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT velastinsergioa intelligentdistributedvideosurveillancesystems AT remagninopaolo intelligentdistributedvideosurveillancesystems |
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Inhaltsverzeichnis
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