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Foreword
7
Preface
8
Acknowledgements
10
Contents
11
Chapter 1 ntroduction
14
1.1 Introduction
14
1.2 Objective
15
1.3 Practical Applications
16
1.4 Research Challenges
18
1.4.1 Event Detection
18
1.4.2 Flow Estimation
18
1.4.3 Gaze Estimation
19
1.4.4 Role of the Context
19
1.4.5 Societal Issues
20
1.5 Technical Contribution
20
1.6 How the Book is Organized
22
Chapter 2 Abnormal Event Detection
24
2.1 Introduction
24
2.2 Related Work
26
2.3 Proposed Approach
28
2.3.1 Low-Level Features
29
2.3.1.1 Motion Heat Map
29
2.3.1.2 Points of Interest
30
2.3.1.3 Tracking Points of Interest
32
2.3.1.4
33
2.3.2 Intermediate-Level Features
34
2.3.2.1 Motion Area Ratio
34
2.3.2.2 Direction Variance
35
2.3.2.3 Motion Magnitude Variance
35
2.3.2.4 Direction Histogram
35
2.3.2.5 Direction Map
36
2.3.2.6 Difference of Direction Map
37
2.3.3 Other Intermediate-Level Features
39
2.3.3.1 Motion Continuity Factor
39
2.3.3.2 Motion Description Factor
42
2.3.3.3 Motion Trajectory of the Blob
44
2.3.4 High-Level Features
46
2.3.4.1 Detecting Collapsing Events
46
2.3.4.2 Detecting Opposing Flow Event
49
2.4 Group Detection and Tracking
51
2.4.1 Detection and Tracking of PoIs
52
2.4.2 Direction and Magnitude Models
53
2.4.3 Block Clustering
54
2.4.4 Group Tracking
55
2.5 Detecting Multiple Flows and Events in a Crowd Scene
56
2.5.1 Multiple Flow Detection
56
2.5.2 Event Recognition
56
2.5.3 Running and Walking Events
57
2.5.4 Crowd Convergence and Divergence Events
57
2.5.5 Results
59
2.6 Method Adaptation to Context
61
2.6.1 Overview
61
2.6.2 Context Factors
61
2.6.3 Method Extensions
63
2.6.4 Experiments
64
2.6.4.1 Some examples
64
2.6.4.2 Data Set
64
2.6.4.3 Methodology
66
2.6.5 Results
68
2.7 Conclusion
69
Chapter 3 Flow Estimation
72
3.1 Introduction
72
3.2 Related Works
73
3.2.1 Methods based on Motion Detection and Analysis
74
3.2.1.1 Approach Proposed by Xu and al. [149]
75
3.2.1.2 Approach Proposed by Zhang and Chen [153]
76
3.2.2 Methods Based on Contour Analysis
80
3.2.2.1 Approach Proposed by Bozzoli and al. [19]
80
3.2.3 Template-Based Methods
85
3.2.3.1 Approach Proposed by Sidla and al. [120]
86
3.2.4 Stereovision-Based methods
88
3.2.4.1 Approach Proposed by Terada and al. [130]
89
3.2.5 Spatio-Temporal Methods
92
3.2.5.1 Approach Proposed by Albiol and al. [1]
94
3.2.6 Commercial Applications
96
3.2.6.1 Cognimatics
96
3.2.6.2 Infodev
97
3.2.6.3 Eurecam Sarl
98
3.2.7 Contribution
98
3.3 Approach Steps
99
3.3.1 Blob Detection
99
3.3.2 Count Estimation
104
3.4 Experiments and Results
106
3.5 Conclusion
110
Chapter 4 Estimation of Visual Gaze
112
4.1 Human Vision System
112
4.2 History of Gaze Tracking
114
4.3 Gaze Tracking Techniques
115
4.3.1 Intrusive Systems
115
4.3.1.1 Electro-Oculography
115
4.3.1.2 Contact Lenses with Magnetic Coils
115
4.3.1.3 Localization of the Limb
116
4.3.1.4 Analysis of Eye Images
116
4.3.2 Non-Intrusive Systems
119
4.4 Applications
119
4.4.1 Interaction During Meetings
119
4.4.2 Driver Monitoring
120
4.4.3 Virtual Reality
120
4.4.4 Human Computer Interaction
121
4.4.5 Extraction of Saliency Maps in Images
122
4.4.6 Store Marketing
123
4.5 Contribution of Head Pose in Visual Gaze
123
4.5.1 Database
124
4.5.2 Calculating the Contribution of Head Pose
125
4.5.3 Prediction of the Target
125
4.6 Estimating Gaze Direction Based on Eye Localization Only
127
4.7 Head Pose Estimation
127
4.7.1 State of the Art
128
4.7.1.1 Definition
128
4.7.1.2 Human Capacity for Estimating Head Orientation
129
4.7.1.3 Problems Encountered when Estimating Head Poses
131
4.7.2 Image Datasets
140
4.7.2.1 Building Image Datasets
140
4.7.2.2 Utilized Image Database
142
4.7.3 Estimation of Head Pose Based on Global Appearance
144
4.7.3.1 Utilized Image Dataset
144
4.7.3.2 Feature Selection
145
4.7.3.3 Experimental Results
150
4.7.4 Cylindrical Model for Head Tracking
151
4.8 Conclusion
154
Chapter 5 Visual Field Projection and Region of Interest Analysis
156
5.1 Visual Field Estimation
156
5.1.1 Physiological Data
157
5.1.2 Visual Field Estimation and Fixation Point for Frontal Pose
158
5.1.3 Visual Field Adaptation to Head Orientation
160
5.1.3.1 Matrix Approach
161
5.2 Visual Field Projection
166
5.2.1 Point Projection
166
5.2.2 Perception Volume Projection
168
5.3 Visual Field Display and Projection on an Image
170
5.4 Region-of-Interest Extraction
172
5.4.1 Representation of Gaze Information
172
5.4.2 Gaze Point Correction
173
5.4.3 Calculation of Tilt and Pan Angles Corresponding to a Gaze Point
175
5.5 Metrics for Gaze Analysis
176
5.5.1 Construction of a System Measuring Media Relevance
176
5.5.1.1 Raw Data Collection
177
5.5.1.2 Identification of Fixations
177
5.5.2 Metrics Related to Fixation Distribution
178
5.5.3 Experiment
180
5.5.3.1 Images
180
5.5.3.2 Videos
181
5.5.4 Discussions
182
5.6 Conclusion
183
Chapter 6 Conclusion
184
6.1 Challenge
184
6.2 Perspectives
185
References
188
Appendix A Societal Recommendations
200
A.1 Societal Recommendations
201
A.1.1 Public Awareness
201
A.1.1.1 Observation and Surveillance Technology Awareness
201
A.1.1.2 Legal Awareness
202
A.1.1.3 Recommendation 1
202
A.1.2 Public Policy of Research and Development
202
A.1.2.1 EU R&D Awareness
202
A.1.2.2 Recommendation 2
203
A.1.2.3 Democratic Discussion
203
A.1.2.4 Recommendation 3
204
A.1.2.5 R&D Program Evaluation
204
A.1.2.6 Recommendation 4
204
A.1.2.7 Management and Human Science Researchers’ Role
205
A.1.2.8 Recommendation 5
205
A.1.3 Democratic Requirement for OST Regulation
205
A.1.3.1 Reinforcement of Public Authorities’ Assets with Regard to the Protection of Privacy and Data Protection
205
A.1.3.2 Recommendation 6
206
A.1.3.3 Intelligibility of the OST Systems
206
A.1.3.4 Accessibility to the OST Systems
206
A.1.3.5 Recommendation 7
207
A.1.3.6 Legitimacy of the OST’s Finalities
207
A.1.3.7 Recommendation 8
207
A.1.3.8 Recommendation 9
207
A.1.3.9 Privatization of Public Issues
208
A.1.3.10 Recommendation 10
208
A.2 Legal Recommendations
208
A.2.1 Data Protection and Privacy Issues
208
A.2.1.1 Recommendation 11
208
A.2.1.2 Recommendation 12
209
A.2.1.3 Recommendation 13
209
A.2.1.4 Recommendation 14
209
A.2.1.5 Recommendation 15
210
A.2.1.6 Recommendation 16
210
A.2.1.7 Recommendation 17
211
A.2.1.8 Recommendation 18
211
A.2.1.9 Recommendation 19
211
A.2.1.10 Recommendation 20
211
A.2.1.11 Recommendation 21
212
A.2.2 Beyond Data Protection
212
A.2.2.1 Data Protection and Fundamental Liberties
212
A.2.2.2 Recommendation 22
212
A.2.2.3 Recommendation 23
213
A.2.2.4 Recommendation 24
213
A.2.2.5 Specific Provisions about Terminals and Infrastructures
213
A.2.2.6 Recommendation 25
213
A.2.2.7 Recommendation 26
214
A.2.2.8 Recommendation 27
214
A.2.2.9 Recommendation 28
214
A.2.2.10 Recommendation 29
214
A.2.2.11 Recommendation 30
215
A.2.2.12 Towards a Regulation of Profiling Activities
215
A.2.2.13 Recommendation 31
215
A.2.2.14 Recommendation 32
215
A.2.2.15 Recommendation 33
216
A.2.2.16 Recommendation 34
216
A.2.2.17 Recommendation 35
216
A.2.3 Consumer Protection
216
A.2.3.1 Recommendation 36
216
A.2.3.2 Recommendation 37
217
A.2.3.3 Recommendation 38
217
A.2.3.4 Recommendation 39
217
Glossary
218
Index
220
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