Intro
International Program Committee
Preface
Contents
About the Editors
1 Computational Intelligence for Brain Tumors Detection
1.1 Introduction
1.2 Computational Intelligence Paradigms
1.3 Computational Intelligence Applications in Intelligent Health Informatics
1.4 Deep Learning Paradigm in Health Informatics
1.5 Medical Imaging Techniques for Human Brain
1.5.1 Medical Aspects
1.5.2 Magnetic Resonance Imaging (MRI)
1.5.3 General Methodology of Brain Images Processing
1.5.4 CI Techniques for Segmentation and Classification Processes

1.6 Brain Tumor Diagnosis Using CI Techniques
1.6.1 1st Application: Developing CAD Systems for Brain Tumor Diagnosis
1.6.2 2nd Application: Classification Using Deep Learning for Brain Tumors
1.7 Recommendations and Conclusions
1.7.1 Recommendation
1.8 Conclusions
References
2 Video-Based Monitoring and Analytics of Human Gait for Companion Robot
2.1 Introduction
2.2 Related Work
2.3 Methodology
2.3.1 Pipeline Overview
2.3.2 Pose Estimation and Skeleton Extraction
2.3.3 Gait and Postural Feature Extraction
2.3.4 Time Series Analysis

2.4 Experiments and Results
2.4.1 Data Collection
2.4.2 Experiment Setting
2.4.3 Results for Gait Classification
2.4.4 Discussion
2.4.5 Graphical User Interface and Companion Robot
2.5 Conclusions and Future Work
References
3 Comparative Analysis of the Hierarchical 3D-SVD and Reduced Inverse Tensor Pyramid in Regard to Famous 3D Orthogonal Transforms
3.1 Introduction
3.2 Tensor Decomposition Through 3D Truncated Hierarchical SVD
3.2.1 Decomposition of Elementary Tensor of Size 2 × 2 × 2 Through 3D Truncated Hierarchical SVD

3.2.2 Decomposition of a Tensor of Size N × N × N Through 3D Truncated Hierarchical SVD
3.2.3 Calculation of 3D-THSVD for Third-Order Tensor of Size N × N × N
3.3 Tensor Decomposition Based on the 3D Reduced Inverse Spectrum Pyramid
3.4 Comparison of the CC of the Famous Deterministic and Statistical Hierarchical 3D Decompositions
3.4.1 CC of the Deterministic Hierarchical 3D Decompositions: RISP, SDT, FFT and DWT
3.4.2 CC of the Statistical Hierarchical 3D Decompositions HSVD, THSVD, and H-Tucker
3.4.3 Comparison Evaluation of the CC for the Analyzed 3D Decompositions

3.5 Conclusions
References
4 Tracking of Domestic Animals in Thermal Videos by Tensor Decompositions
4.1 Introduction
4.2 Evaluated Algorithms
4.2.1 Tucker-ALS
4.2.2 Tucker-ADAL
4.2.3 CP-ALS
4.2.4 HoRPCA-S
4.2.5 Score Fusion
4.3 Experimental Results
4.4 Discussion
4.5 Conclusion
References
5 Partial Contour Matching Based on Affine Curvature Scale Space Descriptors
5.1 Introduction
5.2 Affine Curvature Scale Space Curve Matching Algorithm
5.2.1 Affine Curvature Scale Space Descriptor (ACSS)
5.2.2 Affine Curve Matching (ACM) Algorithm