18 search results - page 1 / 4 » Exploiting High Dimensional Video Features Using Layered Gau... |
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
TRECVID
2007
13 years 5 months ago
2007
We describe a high level feature extraction system for video. Video sequences are modeled using Gaussian Mixture Models. We have used those models in the past to segment video seq...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Accurately modeling object colors, and features in general, plays a critical role in video segmentation and analysis. Commonly used color models, such as global Gaussian mixtures, ...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
ICPR
2000
IEEE
14 years 5 months ago
2000
IEEE
The appearance of non-rigid objects detected and tracked in video streams is highly variable and therefore makes the identification of similar objects very complex. Furthermore, i...