43 search results - page 1 / 9 » Inferring High-Level Behavior from Low-Level Sensors |
HUC
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. We present a method of learning a Bayesian model of a traveler moving through an urban environment. This technique is novel in that it simultaneously learns a unified mo...
AAAI
2004
13 years 9 months ago
2004
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
Behavior understanding and semantic interpretation of dynamic visual scenes have attracted a lot of attention in computer vision research community. Although the use of surveillan...
SEMWEB
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. OWL-S allows selecting, composing and invoking Web Serdifferent levels of abstraction: selection uses high level abstract descriptions, invocation uses low level groundi...
AMI
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We propose SAGE, an agent-based environment monitoring and control system based on computation logic. SAGE uses forward chaining deductive inference to map low level sens...