Human Activity Analysis in Visual Surveillance and Healthcare

Muhammad Hassan Khan

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Muhammad Hassan Khan, Human Activity Analysis in Visual Surveillance and Healthcare (2018), Logos Verlag, Berlin, ISBN: 9783832590284

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Beschreibung / Abstract

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 procedure using visual data.

The first part of the dissertation proposes a robust gait representation to recognise the identity of a person using his/her walking style, dealing with its several real world challenges as well as taking into consideration the effects of cross-view recognition. In the second part, a complete framework is proposed to capture and analyse the movement of different body parts in human which is useful in the clinical assessment to detect any movement disorders and the assessment of the desired therapeutic program.

Inhaltsverzeichnis

  • BEGINN
  • 1 Introduction
  • 1.1 Problem
  • 1.2 Contribution
  • 1.3 Overview
  • 2 RelatedWork
  • 2.1 Terminology
  • 2.2 Gait Representation
  • 2.3 Cross-view Gait Recognition
  • 2.4 Benchmark Gait Databases
  • 2.5 Movement Analysis
  • 3 Single-view Gait Recognition
  • 3.1 Gait Recognition using Spatiotemporal Motion Characteristics
  • 3.2 Adaptation of Generic Codebook for Gait Recognition Algorithms
  • 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 Analysis
  • 5.4 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
  • 6.2 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

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