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» Conditional models for contextual human motion recognition
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CVPR
2005
IEEE
14 years 7 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002
COLING
1992
13 years 7 months ago
Using Linguistic, World, And Contextual Knowledge In A Plan Recognition Model Of Dialogue
This paper presents a plan-based model of dialogue that combines world, linguistic, and contextual knowledge in order to recognize complex communicative actions such as expressing...
Lynn Lambert, Sandra Carberry
CVPR
2009
IEEE
15 years 27 days ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
Yang Wang 0003, Greg Mori
ICMCS
2007
IEEE
151views Multimedia» more  ICMCS 2007»
14 years 2 days ago
Exploring Contextual Information in a Layered Framework for Group Action Recognition
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
Dong Zhang, Samy Bengio
MVA
2000
166views Computer Vision» more  MVA 2000»
13 years 7 months ago
Motion Segmentation and Tracking by Embedding Global Model Within a Contextual Relaxation Scheme
IAPR Workshop on Machine Vision and Applications, pp. 455-458, 2000, Tokyo, Japan In this paper, we integrate the model-based tracking and local contexture (temporal and spatial) ...
Yunqiang Chen, Thomas S. Huang