Activity Monitoring by Multiple Distributed Sensing

1. Front Matter

   Pages I-IX

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2. A Distributed Cooperative Architecture for Robotic Networks with Application to Ambient Intelligence

   • Antonio Petitti, Donato Di Paola, Annalisa Milella, Pier Luigi Mazzeo, Paolo Spagnolo, Grazia Cicirelli et al.

   Pages 1-12

3. A Customizable Approach for Monitoring Activities of Elderly Users in Their Homes

   • Jonas Ullberg, Amy Loutfi, Federico Pecora

   Pages 13-25

4. The AVA Multi-View Dataset for Gait Recognition

   • David López-Fernández, Francisco José Madrid-Cuevas, Ángel Carmona-Poyato, Manuel Jesús Marín-Jiménez, Rafael Muñoz-Salinas

   Pages 26-39

5. Topological Features for Monitoring Human Activities at Distance

   • Javier Lamar Leon, Raúl Alonso, Edel Garcia Reyes, Rocio Gonzalez Diaz

   Pages 40-51

6. TLD and Struck: A Feature Descriptors Comparative Study

   • Francesco Adamo, Pierluigi Carcagnì, Pier Luigi Mazzeo, Cosimo Distante, Paolo Spagnolo

   Pages 52-63

7. Group Sleepiness Measurement in Classroom

   • Kenshiro Nishikawa, Mineichi Kudo

   Pages 64-72

8. A Semantic Reasoner Using Attributed Graphs Based on Intelligent Fusion of Security Multi-sources Information

   • Vincenzo Carletti, Rosario Di Lascio, Pasquale Foggia, Mario Vento

   Pages 73-86

9. Visual Tracking via Sparse Representation and Online Dictionary Learning

   • Xu Cheng, Nijun Li, Tongchi Zhou, Lin Zhou, Zhenyang Wu

   Pages 87-103

10. A Wireless Sensor Network Application with Distributed Processing in the Compressed Domain

    • Mauricio González, Javier Schandy, Nicolás Wainstein, Martín Bertrán, Natalia Martínez, Leonardo Barboni et al.

    Pages 104-115

11. Back Matter

    Pages 117-117

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This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Activity Monitoring by Multiple Distributed Sensing, AMMDS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of ICPR 2014, the 22nd International Conference on Pattern Recognition. The 9 revised full papers included in the volume investigate the challenges that arise when distributed sensor networks are used to track, monitor, and understand the activity, intent, and motives of human beings. Application areas include human-computer interaction, user interface design, robot learning, and surveillance.

• activity recognition and understanding
• camera calibration
• digital signal processing
• distributed architectures
• metworking hardware
• middleware
• mutli-agent learning
• object detection
• object identification
• robotic autonomy
• robotic components
• robotic control
• scene understanding
• sensor networks
• sensors and actuators
• surveillance mechanisms
• tracking
• video segmentation
• wireless integrated network sensors
• algorithm analysis and problem complexity

• Istituto Nazionale di Ottica - CNR, Italy

  Pier Luigi Mazzeo

• Istituto Nazioinale di Ottica - CNR, Italy

  Paolo Spagnolo

• Aalborg University, Aalborg, Denmark

  Thomas B. Moeslund

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