Image Analysis and Recognition

1. Front Matter

   Pages I-XXIII

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2. Action, Gestures and Audio-Visual Recognition

   1. Front Matter

      Pages 1-1

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   2. Audio-Visual Emotion Analysis Using Semi-Supervised Temporal Clustering with Constraint Propagation

      • Rodrigo Araujo, Mohamed S. Kamel

      Pages 3-11

   3. Exemplar-Based Human Action Recognition with Template Matching from a Stream of Motion Capture

      • Daniel Leightley, Baihua Li, Jamie S. McPhee, Moi Hoon Yap, John Darby

      Pages 12-20

   4. A New Visual Speech Recognition Approach for RGB-D Cameras

      • Ahmed Rekik, Achraf Ben-Hamadou, Walid Mahdi

      Pages 21-28

   5. 2D Appearance Based Techniques for Tracking the Signer Configuration in Sign Language Video Recordings

      • Ville Viitaniemi, Matti Karppa, Jorma Laaksonen

      Pages 29-38

   6. Computer Aided Hearing Assessment: Detection of Eye Gesture Reactions as a Response to the Sound

      • A. Fernández, Marcos Ortega, Manuel G. Penedo

      Pages 39-47

   7. Multi-sensor Acceleration-Based Action Recognition

      • Florian Baumann, Irina Schulz, Bodo Rosenhahn

      Pages 48-57

   8. Incremental Learning of Hand Gestures Based on Submovement Sharing

      • Ryo Kawahata, Yanrung Wang, Atsushi Shimada, Takayoshi Yamashita, Rin-ichiro Taniguchi

      Pages 58-65

   9. Gait Analysis from Video: Camcorders vs. Kinect

      • Hoang Anh Nguyen, Jean Meunier

      Pages 66-73

3. Biometrics

   1. Front Matter

      Pages 75-75

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   2. Person Re-identification Using Region Covariance in a Multi-feature Approach

      • Volker Eiselein, Gleb Sternharz, Tobias Senst, Ivo Keller, Thomas Sikora

      Pages 77-84

   3. Multi-biometric Score-Level Fusion and the Integration of the Neighbors Distance Ratio

      • Naser Damer, Alexander Opel

      Pages 85-93

   4. Adaptive Haar-Like Features for Head Pose Estimation

      • Nam-Jun Pyun, Halima Sayah, Nicole Vincent

      Pages 94-101

   5. Face and Palmprint Recognition Using Hierarchical Multiscale Adaptive LBP with Directional Statistical Features

      • Ghada Shams, Mohamed Ismail, Sohier Bassiouny, Nagia Ghanem

      Pages 102-111

   6. Multispectral Iris Recognition Using Patch Based Game Theory

      • Foysal Ahmad, Kaushik Roy, Khary Popplewell

      Pages 112-119

4. Medical Image Processing and Analysis

   1. Front Matter

      Pages 121-121

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   2. Periodic Background Pattern Detection and Removal for Cell Tracking

      • Tiago Esteves, Ângela Carvalho, Fernando Jorge Monteiro, Pedro Quelhas

      Pages 123-131

   3. Nerve Detection in Ultrasound Images Using Median Gabor Binary Pattern

      • Oussama Hadjerci, Adel Hafiane, Pascal Makris, Donatello Conte, Pierre Vieyres, Alain Delbos

      Pages 132-140

   4. Automatic Localization of Skin Layers in Reflectance Confocal Microscopy

      • Eduardo Somoza, Gabriela Oana Cula, Catherine Correa, Julie B. Hirsch

      Pages 141-150

The two volumes LNCS 8814 and 8815 constitute the thoroughly refereed proceedings of the 11th International Conference on Image Analysis and Recognition, ICIAR 2014, held in Vilamoura, Portugal, in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 177 submissions. The papers are organized in the following topical sections: image representation and models; sparse representation; image restoration and enhancement; feature detection and image segmentation; classification and learning methods; document image analysis; image and video retrieval; remote sensing; applications; action, gestures and audio-visual recognition; biometrics; medical image processing and analysis; medical image segmentation; computer-aided diagnosis; retinal image analysis; 3D imaging; motion analysis and tracking; and robot vision.

• adaptive classification
• automated image processing
• biomedical imaging
• classification
• clustering
• deep learning
• human-computer-interaction
• multi-biometrics
• object recognition
• optimization
• pattern recognition
• prototype learning
• robot vision
• stereo vision
• supervised learning
• support vector machine
• unconstrained optimization

• Faculty of Engineering, University of Porto, Porto, Portugal

  Aurélio Campilho

• Dept. of Electrical and Computer Eng., University of Waterloo, Waterloo, Canada

  Mohamed Kamel

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