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» Foreground Detection Using Spatiotemporal Projection Kernels
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ICCV
2005
IEEE
15 years 11 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
ICMI
2005
Springer
201views Biometrics» more  ICMI 2005»
15 years 2 months ago
A joint particle filter for audio-visual speaker tracking
In this paper, we present a novel approach for tracking a lecturer during the course of his speech. We use features from multiple cameras and microphones, and process them in a jo...
Kai Nickel, Tobias Gehrig, Rainer Stiefelhagen, Jo...
ICPR
2010
IEEE
14 years 7 months ago
Improving Classification Accuracy by Comparing Local Features through Canonical Correlations
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
Mert Dikmen, Thomas S. Huang
ACCV
2007
Springer
15 years 3 months ago
Simultaneous Appearance Modeling and Segmentation for Matching People Under Occlusion
We describe an approach to segmenting foreground regions corresponding to a group of people into individual humans. Given background subtraction and ground plane homography, hierar...
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel...
ICASSP
2009
IEEE
15 years 4 months ago
Acoustic fall detection using Gaussian mixture models and GMM supervectors
We present a system that detects human falls in the home environment, distinguishing them from competing noise, by using only the audio signal from a single far-field microphone....
Xiaodan Zhuang, Jing Huang, Gerasimos Potamianos, ...