Human Behavior Understanding

1. Front Matter

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2. Challenges of Human Behavior Understanding

   1. Challenges of Human Behavior Understanding

      • Albert Ali Salah, Theo Gevers, Nicu Sebe, Alessandro Vinciarelli

      Pages 1-12

3. Analysis of Human Activities

   1. Understanding Macroscopic Human Behavior

      • Ramesh Jain

      Pages 13-13

   2. Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data

      • Santi Phithakkitnukoon, Teerayut Horanont, Giusy Di Lorenzo, Ryosuke Shibasaki, Carlo Ratti

      Pages 14-25

   3. From On-Going to Complete Activity Recognition Exploiting Related Activities

      • Carlo Nicolini, Bruno Lepri, Stefano Teso, Andrea Passerini

      Pages 26-37

   4. Human Activity Recognition Using Inertial/Magnetic Sensor Units

      • Kerem Altun, Billur Barshan

      Pages 38-51

4. Non-verbal Action Dynamics

   1. Face Tracking and Recognition Considering the Camera’s Field of View

      • Yuzuko Utsumi, Yoshio Iwai, Hiroshi Ishiguro

      Pages 52-63

   2. Spatiotemporal-Boosted DCT Features for Head and Face Gesture Analysis

      • Hatice Çınar Akakın, Bülent Sankur

      Pages 64-74

   3. Concensus of Self-features for Nonverbal Behavior Analysis

      • Derya Ozkan, Louis-Philippe Morency

      Pages 75-86

5. Visual Action Recognition

   1. Recognizing Human Action in the Wild

      • Ivan Laptev

      Pages 87-87

   2. Comparing Evaluation Protocols on the KTH Dataset

      • Zan Gao, Ming-yu Chen, Alexander G. Hauptmann, Anni Cai

      Pages 88-100

   3. 3D Mean-Shift Tracking of Human Body Parts and Recognition of Working Actions in an Industrial Environment

      • Markus Hahn, Fuad Quronfuleh, Christian Wöhler, Franz Kummert

      Pages 101-112

   4. Feature Representations for the Recognition of 3D Emblematic Gestures

      • Jan Richarz, Gernot A. Fink

      Pages 113-124

6. Social Signals

   1. Types of Help in the Teacher’s Multimodal Behavior

      • Francesca D’Errico, Giovanna Leone, Isabella Poggi

      Pages 125-139

   2. Honest Signals and Their Contribution to the Automatic Analysis of Personality Traits – A Comparative Study

      • Bruno Lepri, Kyriaki Kalimeri, Fabio Pianesi

      Pages 140-150

   3. Speech Emotion Classification and Public Speaking Skill Assessment

      • Tomas Pfister, Peter Robinson

      Pages 151-162

   4. Dominance Signals in Debates

      • Isabella Poggi, Francesca D’Errico

      Pages 163-174

7. Back Matter

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It was a great pleasure to organize the First International Workshop on Human Behavior Understanding (HBU), which took place as a satellite workshop to International Conference on Pattern Recognition (ICPR) on August 22, 2010, in Istanbul, Turkey. This workshop arose from the natural marriage of pattern recognitionwiththerapidlyadvancingareaofhumanbehavioranalysis.Ouraim was to gather researchersdealing with the problem of modeling human behavior under its multiple facets (expression of emotions, display of relational attitudes, performance of individual or joint actions, etc.), with particular attention to pattern recognition approaches that involve multiple modalities and those that model actual dynamics of behavior. The contiguity with ICPR, one of the most important events in the p- tern recognition and machine learning communities, is expected to foster cro- pollination with other areas, for example temporal pattern mining or time - ries analysis, which share their important methodological aspects with human behavior understanding. Furthermore, the presence of this workshop at ICPR was meant to attract researchers, in particular PhD students and postd- toral researchers, to work on the questions of human behavior understanding that is likely to play a major role in future technologies (ambient intelligence, human–robot interaction, arti?cial social intelligence, etc.), as witnessed by a number of researche?orts aimed at collecting and annotating large sets of multi sensor data,collected from observingpeople in naturaland often technologically challenging conditions.

• action recognition
• activity recognition
• ambient intelligence
• classification
• emotion recognition
• gesture analysis
• pattern matching
• pattern recognition

• Informatics Institute, University of Amsterdam, The Netherlands

  Albert Ali Salah, Theo Gevers

• Dept. of Information Engineering and Computer Science, University of Trento, POVO, Trento, Italy

  Nicu Sebe

• Dept. of Computing Science, University of Glasgow, Glasgow, UK

  Alessandro Vinciarelli

Policies and ethics