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» Coupled hidden Markov models for complex action recognition
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CVPR
2012
IEEE
11 years 9 months ago
Learning latent temporal structure for complex event detection
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
Kevin Tang, Fei-Fei Li, Daphne Koller
MMS
2006
13 years 7 months ago
View-invariant motion trajectory-based activity classification and recognition
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
ISVC
2007
Springer
14 years 1 months ago
A Vision-Based Architecture for Intent Recognition
Abstract. Understanding intent is an important aspect of communication among people and is an essential component of the human cognitive system. This capability is particularly rel...
Alireza Tavakkoli, Richard Kelley, Christopher Kin...
DAGSTUHL
2007
13 years 8 months ago
Logical Particle Filtering
Abstract. In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical par...
Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack ...
AAAI
1997
13 years 8 months ago
The "Inverse Hollywood Problem": From Video to Scripts and Storyboards via Causal Analysis
We address the problem of visually detecting causal events and tting them together into a coherent story of the action witnessed by the camera. We show that this can be done by re...
Matthew Brand