Соколова Анна Ильинична Нейросетевая модель распознавания человека по походке в видеоданных различной природы

brief description

Соколова Анна Ильинична Нейросетевая модель распознавания человека по походке в видеоданных различной природы
ОГЛАВЛЕНИЕ ДИССЕРТАЦИИ
кандидат наук Соколова Анна Ильинична
Contents

Introduction

1. Background

1.1 Influential factors

1.2 Gait recognition datasets

1.3 Literature review

1.3.1 Manual feature construction

1.3.2 Automatic feature training

1.3.3 Event-based methods

2. Baseline model

2.1 Motivation

2.2 Proposed algorithm

2.2.1 Data preprocessing

2.2.2 Neural network backbone

2.2.3 Feature postprocessing and classification

2.3 Experimental evaluation

2.3.1 Evaluation metrics

2.3.2 Experiments and results

2.4 Conclusions

3. Pose-based gait recognition

3.1 Motivation

3.2 Proposed algorithm

3.2.1 Body part selection and data preprocessing

3.2.2 Neural network pipeline

3.2.3 Feature aggregation and classification

3.3 Experimental evaluation

3.3.1 Performance evaluation

3.3.2 Experiments and results

3.4 Conclusions

4. View resistant gait recognition

4.1 Motivation

4.2 View Loss

4.3 Cross-view triplet probability embedding

4.4 Experimental evaluation

4.5 Conclusions

5. Event-based gait recognition

5.1 Dynamic Vision Sensors

5.2 Data visualization

5.3 Recognition algorithm

5.3.1 Human figure detection

5.3.2 Pose estimation

5.3.3 Optical flow estimation

5.4 Event-based data

5.5 Experimental evaluation

5.6 Conclusions

Conclusion

References

List of Figures

List of Tables