CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
Activity recognition is an important issue in building intelligent monitoring systems. We address the recognition of multilevel activities in this paper via a conditional Markov r...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...