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» Multiple Kernels for Object Detection
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IH
2007
Springer
15 years 6 months ago
A Fusion of Maximum Likelihood and Structural Steganalysis
Abstract. This paper draws together two methodologies for the detection of bit replacement steganography: the principle of maximum likelihood, which is statistically well-founded b...
Andrew D. Ker
ATAL
2005
Springer
15 years 5 months ago
Real-time dense communication among agents for active tracking
For multi-target tracking, we realize the increase in number of simultaneously trackable objects and tracking stability by improving the way of communication proposed in [1] so th...
Norimichi Ukita
CVPR
2006
IEEE
16 years 1 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
ASPDAC
2006
ACM
173views Hardware» more  ASPDAC 2006»
15 years 3 months ago
Image segmentation and pattern matching based FPGA/ASIC implementation architecture of real-time object tracking
A novel algorithm for object tracking in video pictures, based on image segmentation and pattern matching, as well as its FPGA/ASIC implementation architecture are presented. With ...
K. Yamaoka, Takashi Morimoto, Hidekazu Adachi, Tet...
CVPR
2001
IEEE
16 years 1 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb