124 search results - page 4 / 25 » Recognizing Multi-Agent Activities from GPS Data |
HUMO
2007
Springer
13 years 11 months ago
2007
Springer
In this paper, we introduce a first-order probabilistic model that combines multiple cues to classify human activities from video data accurately and robustly. Our system works in...
KI
2007
Springer
13 years 11 months ago
2007
Springer
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signi...
HUC
2009
Springer
13 years 10 months ago
2009
Springer
We explore a dense sensing approach that uses RFID sensor network technology to recognize human activities. In our setting, everyday objects are instrumented with UHF RFID tags ca...
ICARCV
2006
IEEE
13 years 11 months ago
2006
IEEE
— As confirmed by recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Apart ...
PERVASIVE
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. In this work, algorithms are developed and evaluated to detect physical activities from data acquired using five small biaxial accelerometers worn simultaneously on di...