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Human Activity Analysis in Visual Surveillance and Healthcare
Long description: An automatic recognition of human activities enables their use in several interesting applications of daily life. This dissertation emphases on the analysis of human activities in a visual surveillance scenario and the classification of physical activities in the therapeutic proced...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin :
Logos Verlag Berlin,
2018.
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| Colección: | Studien Zur Mustererkennung Ser.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Intro; 1 Introduction; 1.1 Problem; 1.2 Contribution; 1.3 Overview; 2 RelatedWork; 2.1 Terminology; 2.2 Gait Representation; 2.2.1 Model-based Approaches; 2.2.2 Appearance-based Approaches; 2.3 Cross-view Gait Recognition; 2.3.1 View-invariant Gait Descriptor; 2.3.2 3D View Gait Descriptor; 2.3.3 View Transformation Model; 2.4 Benchmark Gait Databases; 2.5 Movement Analysis; 2.5.1 Visual Sensor-based Approaches; 2.5.2 Motion Sensor-based Algorithms; 3 Single-view Gait Recognition; 3.1 Gait Recognition using Spatiotemporal Motion Characteristics; 3.1.1 Motion Descriptors
- 3.1.2 Codebook Generation3.1.3 Feature Encoding; 3.1.4 Dimensionality Reduction; 3.1.5 Classification; 3.1.6 Experiments and Results; 3.2 Adaptation of Generic Codebook for Gait Recognition Algorithms; 3.2.1 Experiments and Results; 3.2.2 Discussion; 3.3 Summary; 4 Cross-view Gait Recognition; 4.1 Gait Representation; 4.2 View Transfer Model; 4.3 Cross-view Gait Representation and Classification; 4.4 Experiments and Results; 4.5 Summary; 5 Movement Analysis of Human Body Parts; 5.1 A Deformable Part-based Model for Movement Analysis of Infants; 5.2 Template-based Model for Infant's Detection
- 5.3 Infant's Motion Analysis5.4 Model Training; 5.5 Experiments and Results; 5.6 Summary; 6 Evaluation of the Therapeutic Procedure; 6.1 A Vision-based Framework to Evaluate the Physiotherapy; 6.1.1 Data Pre-processing; 6.1.2 Patient Body Detection; 6.1.3 Pose Representation; 6.1.4 Classification; 6.1.5 Experiments and Results; 6.2 A Deformable Part-based Model to Evaluate the Physiotherapy; 6.3 Summary; 7 Conclusion and FutureWork; 7.1 Conclusion; 7.2 FutureWork; Abbreviations; Mathematical Symbols; List of Figures; List of Tables; Bibliography; Own Publications; Curriculum Vitae