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ICCV
2003
IEEE
16 years 6 months ago
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter
The algorithm presented in this paper aims to segment the foreground objects in video (e.g., people) given timevarying, textured backgrounds. Examples of time-varying backgrounds ...
Jing Zhong, Stan Sclaroff
ICPR
2008
IEEE
16 years 5 months ago
A discriminative semi-Markov model for robust scene text recognition
We present a semi-Markov model for recognizing scene text that integrates character and word segmentation with recognition. Using wavelet features, it requires only approximate lo...
Allen R. Hanson, Erik G. Learned-Miller, Jerod J. ...
127
Voted
ICPR
2006
IEEE
16 years 5 months ago
Background Robust Object Labeling by Voting of Weight-Aggregated Local Features
In this paper, we present a new voting-based object labeling method that is robust to background clutter. The conventional simple voting method shows very poor performance under c...
In-So Kweon, Kuk-Jin Yoon, Sungho Kim
ICPR
2006
IEEE
16 years 5 months ago
Multi-View Active Shape Model with Robust Parameter Estimation
Active Shape Model is an efficient way for localizing objects with variable shapes. When ASM is extended to multiview cases, the parameter estimation approaches in previous works ...
Li Zhang, Haizhou Ai
142
Voted
ICPR
2004
IEEE
16 years 5 months ago
Robust Detection of People in Thermal Imagery
We present a new contour analysis technique to detect people in thermal imagery. Background-subtraction is first used to identify local regions-of-interest. Gradient information w...
James W. Davis, Vinay Sharma