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» Learning Patterns of Activity Using Real-Time Tracking
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ECAI
2010
Springer
13 years 8 months ago
Human Activity Recognition in Intelligent Home Environments: An Evolving Approach
In this paper, we propose an automated approach to track and recognize daily activities. Any activity is represented in this research as a sequence of raw sensors data. These seque...
José Antonio Iglesias, Plamen P. Angelov, A...
TKDE
2011
186views more  TKDE 2011»
13 years 2 months ago
Discovering Activities to Recognize and Track in a Smart Environment
—The machine learning and pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals expe...
Parisa Rashidi, Diane J. Cook, Lawrence B. Holder,...
DAGM
2009
Springer
14 years 2 months ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters
CVPR
2011
IEEE
13 years 3 months ago
Branch and Track
We present a new paradigm for tracking objects in video in the presence of other similar objects. This branch-andtrack paradigm is also useful in the absence of motion, for the di...
Steve Gu, Carlo Tomasi
ETRA
2008
ACM
254views Biometrics» more  ETRA 2008»
13 years 9 months ago
Voluntary pupil size change as control in eyes only interaction
We investigate consciously controlled pupil size as an input modality. Pupil size is affected by various processes, e.g., physical activation, strong emotional experiences and cog...
Inger Ekman, Antti Poikola, Meeri Mäkär&...