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ICCV
2005
IEEE
16 years 5 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman
128
Voted
ICCV
2003
IEEE
16 years 5 months ago
Images as Bags of Pixels
We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X, Y, I) pixel v...
Tony Jebara
ICCV
2003
IEEE
16 years 5 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann
148
Voted
ICCV
2003
IEEE
16 years 5 months ago
Counting People in Crowds with a Real-Time Network of Simple Image Sensors
Estimating the number of people in a crowded environment is a central task in civilian surveillance. Most vision-based counting techniques depend on detecting individuals in order...
Danny B. Yang, Héctor H. González-Ba...
127
Voted
ICCV
1999
IEEE
16 years 5 months ago
Manhattan World: Compass Direction from a Single Image by Bayesian Inference
When designing computer vision systems for the blind and visually impaired it is important to determine the orientation of the user relative to the scene. We observe that most ind...
James M. Coughlan, Alan L. Yuille