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|a Group and Crowd Behavior for Computer Vision.
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| 260 |
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|b Academic Pr
|c 2017.
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| 300 |
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|a 1 online resource
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|a text
|b txt
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|a computer
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|a Front Cover; Group and Crowd Behavior for Computer Vision; Copyright; Contents; About the Editors; 1 The Group and Crowd Analysis Interdisciplinary Challenge; 1.1 The Study of Groups and Crowds; 1.2 Scope of the Book; 1.3 Summary of Important Points; References; Part 1 Features and Representations; 2 Social Interaction in Temporary Gatherings; 2.1 Introduction: Group and Crowd Behavior in Context; 2.2 Social Interaction: A Typology and Some De nitions; 2.2.1 Unfocused Interaction; 2.2.2 Common-Focused Interaction; 2.2.3 Jointly-Focused Interaction.
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|a 2.3 Temporary Gatherings: A Taxonomy and Some Examples2.3.1 Small Gatherings -- Semi/Private Encounters and Group Life; 2.3.2 Medium Gatherings -- Semi/Public Occasions and Community Life; 2.3.3 Large Gatherings -- Public Events and Collective Life; 2.4 Conclusion: Microsociology Applied to Computer Vision; 2.5 Further Reading; References; 3 Group Detection and Tracking Using Sociological Features; 3.1 Introduction; 3.2 State-of-the-Art; 3.3 Sociological Features; 3.3.1 Low-Level Features; 3.3.1.1 Person Detection; 3.3.1.2 Person Velocity and Direction; 3.3.1.3 Head & Body Orientation.
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|a 3.6.1.3 Comparing Methods3.6.1.4 Performance Evaluation; 3.6.2 Results of Group Tracking; 3.6.2.1 Datasets; 3.6.2.2 Evaluation Metrics; 3.6.2.3 Comparing Methods; 3.6.2.4 Performance Analysis; 3.7 Discussion; 3.8 Conclusions; References; 4 Exploring Multitask and Transfer Learning Algorithms for Head Pose Estimation in Dynamic Multiview Scenarios; 4.1 Introduction; 4.2 Related Work; 4.2.1 Head Pose Estimation from Low-Resolution Images; 4.2.2 Transfer Learning; 4.2.3 Multitask Learning; 4.3 TL and MTL for Multiview Head Pose Estimation; 4.3.1 Preprocessing; 4.3.2 Transfer Learning for HPE.
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| 505 |
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|a 4.3.2.1 Head-Pan Classi cation Under Varying Head-TiltExperimental Results; 4.3.2.2 Head-Pan Classi cation Under Target Motion; Experimental Results; 4.3.3 Multitask Learning for HPE; 4.3.3.1 FEGA-MTL; Experimental Results; 4.4 Conclusions; References; 5 The Analysis of High Density Crowds in Videos; 5.1 Introduction; 5.2 Literature Review; 5.2.1 Crowd Motion Modeling and Segmentation; 5.2.2 Estimating Density of People in a Crowded Scene; 5.2.3 Crowd Event Modeling and Recognition; 5.2.4 Detecting and Tracking in a Crowded Scene; 5.3 Data-Driven Crowd Analysis in Videos.
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| 650 |
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0 |
|a Computer vision.
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| 650 |
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6 |
|a Vision par ordinateur.
|0 (CaQQLa)201-0074889
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| 650 |
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7 |
|a COMPUTERS
|x General.
|2 bisacsh
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| 650 |
|
7 |
|a Computer vision
|2 fast
|0 (OCoLC)fst00872687
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| 720 |
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|a Murino, Vittorio.
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| 720 |
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|a Cristani, Marco.
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| 720 |
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|a Shah, Shishir.
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| 720 |
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|a Savarese, Silvio.
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| 776 |
0 |
8 |
|i Print version:
|z 9780128092767
|z 0128092769
|w (OCoLC)974699087
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| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128092767
|z Texto completo
|
