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» Recognizing and Tracking Human Action
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CVPR
1999
IEEE
14 years 12 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
IUI
2000
ACM
14 years 2 months ago
SUITOR: an attentive information system
Attentive systems pay attention to what users do so that they can attend to what users need. Such systems track user behavior, model user interests, and anticipate user desires an...
Paul P. Maglio, Rob Barrett, Christopher S. Campbe...
MM
2005
ACM
188views Multimedia» more  MM 2005»
14 years 3 months ago
Detecting group activities using rigidity of formation
Most work in human activity recognition is limited to relatively simple behaviors like sitting down, standing up or other dramatic posture changes. Very little has been achieved i...
Saad M. Khan, Mubarak Shah
ECAI
2000
Springer
14 years 2 months ago
Activity Recognition from Video Sequences using Declarative Models
Abstract. We propose here a new approach for video sequence interpretation based on declarative models of activities. The aim of the video sequence interpretation is to recognize i...
Nathanaël Rota, Monique Thonnat
AMDO
2006
Springer
14 years 1 months ago
Towards Hands-Free Interfaces Based on Real-Time Robust Facial Gesture Recognition
Abstract. Perceptual user interfaces are becoming important nowadays, because they offer a more natural interaction with the computer via speech recognition, haptics, computer visi...
Cristina Manresa-Yee, Xavier Varona, Francisco J. ...