دانلود کتاب Intelligent surveillance systems

فهرست مطالب :

6.3 Group Analysis......Page 3
8.2.1.2 Quartation Algorithm......Page 7
8.2.2.1 Motion Feature......Page 9
8.2.3.1 Definition of Third Video Energy......Page 13
8.2.5 Experiment Using an ATM Surveillance System......Page 19
Cover......Page 1
8.2 Energy-based Behavior Analysis of Groups in Crowds......Page 2
8.2.1.1 Definition of First Video Energy......Page 5
Intelligent Surveillance Systems......Page 4
Contents......Page 10
List of Figures......Page 14
8.2.4 Experiment using a Metro Surveillance System......Page 15
7.1.4 Blob Learning......Page 6
7.2.2.1 Multiresolution Density Cells with a Perspective Projection Model......Page 12
8.2.4.2 Wavelet Analysis......Page 16
8.2.4.3 Comparison of Two Kinds of Video Energy......Page 18
8.2.5.4 Experiments......Page 21
Preface......Page 8
Index......Page 11
7.2.3.1 Feature Extraction......Page 17
List of Tables......Page 20
1.3 Book Contents......Page 24
1.1 Background......Page 22
7.2.6 Conclusion......Page 25
2.2.1.2 Selection Method......Page 28
2.2.1.6 Current Applications of Background Update Methods......Page 30
8.3.3 Definition of a Group in a Crowd (Crowd Group)......Page 32
8.3.4 Experiment and Discussion......Page 34
1.2 Existing Surveillance Systems......Page 23
1.4 Conclusion......Page 26
2.2.1 Overview of Background Update Methods......Page 27
2.2.1.4 Kalman Filter-based Adaptive Background Update Method......Page 29
2.2.2 Pattern Classification-based Adaptive Background Update Method......Page 31
2.3 Frame Differencing Method......Page 36
2.4 Optical Flow Method......Page 40
2.5 Conclusion......Page 41
3.2 Segmentation......Page 42
3.3.1.1 Distance Tracking......Page 47
3.3.1.2 Color Tracking......Page 48
3.3.1.3 Fusion of the Two Tracking Approaches......Page 50
3.3.2.1 Target Model Update......Page 53
3.3.3 Local Binary Pattern-based Tracking Method......Page 54
3.3.3.1 Multiple Target Tracking......Page 57
3.3.3.3 LBP Histogram Distance......Page 59
3.3.3.5 Experiment and Discussion......Page 60
3.4 Conclusion......Page 62
4.2.1.1 Preprocessing......Page 63
4.2.1.2 Supervised PCA for Feature Generation......Page 64
4.2.1.3 SVM classifiers......Page 65
4.2.1.4 Experiments......Page 66
4.2.2.1 Mean Shift-based Motion Feature Searching......Page 67
4.2.2.2 Motion History Image-based Analysis......Page 69
4.2.2.3 Frame Work Analysis......Page 70
4.2.2.4 SVM-based Learning......Page 71
4.2.2.6 Experiments......Page 72
4.3 Rule-based Behavior Analysis......Page 73
4.4 Application: Household Surveillance Robot......Page 74
4.4.1 System Implementation......Page 78
4.4.2 Combined Surveillance with Video and Audio......Page 79
4.4.2.1 MFCC Feature Extraction......Page 80
4.4.2.2 Support Vector Machine......Page 82
4.4.3 Experimental Results......Page 83
4.5 Conclusion......Page 86
Chapter 5Facial Analysis of Individuals1......Page 88
5.1.1 Supervised PCA for Feature Generation......Page 90
5.1.2 ICA-based Feature Extraction......Page 92
5.2 Fusion of SVM Classifiers......Page 93
5.3 System and Experiments......Page 95
5.3.1 Implementation......Page 96
5.3.2 Experiment Result......Page 97
6.1 Introduction......Page 98
6.2 Agent Tracking and Status Analysis......Page 99
6.3 Group Analysis......Page 100
6.3.1 Queuing......Page 102
6.3.2 Gathering and Dispersing......Page 104
6.4 Experiments......Page 105
6.4.2 Gathering and Dispersing......Page 107
6.5 Conclusion......Page 108
7.1 Blob-based Human Counting and Distribution......Page 109
7.1.1 Overview......Page 110
7.1.3 Input Selection......Page 112
7.1.4 Blob Learning......Page 114
7.1.5 Experiments......Page 115
7.1.6 Conclusion......Page 117
7.2.1 Overview......Page 118
7.2.2.1 Multiresolution Density Cells with a Perspective Projection Model......Page 120
7.2.2.2 Normalization of Density Cells......Page 124
7.2.3.1 Feature Extraction......Page 125
7.2.3.2 Searching for the Characteristic Scale......Page 126
7.2.3.3 System Training......Page 128
7.2.4.2 System Training and Testing......Page 129
7.2.5 Experiment Results......Page 130
7.2.6 Conclusion......Page 133
8.1 Behavior Analysis of Individuals in Crowds......Page 134
8.2 Energy-based Behavior Analysis of Groups in Crowds......Page 135
8.2.1.1 Definition of First Video Energy......Page 138
8.2.1.2 Quartation Algorithm......Page 140
8.2.2.1 Motion Feature......Page 142
8.2.2.2 Definition of Second Video Energy......Page 144
8.2.3.1 Definition of Third Video Energy......Page 146
8.2.3.2 Angle Field Analysis......Page 147
8.2.4 Experiment using a Metro Surveillance System......Page 148
8.2.4.2 Wavelet Analysis......Page 149
8.2.4.3 Comparison of Two Kinds of Video Energy......Page 151
8.2.5 Experiment Using an ATM Surveillance System......Page 152
8.2.5.2 Aggressive Behaviors Detection Subsystem......Page 153
8.2.5.3 Logical Decision-Making Subsystem......Page 154
8.3.1 Random Sample Consensus (RANSAC)......Page 161
8.3.2 Estimation of Crowd Flow Direction......Page 163
8.3.3 Definition of a Group in a Crowd (Crowd Group)......Page 165
8.3.4 Experiment and Discussion......Page 167
References......Page 170
Index......Page 180