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» Learning Statistical Structure for Object Detection
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94
Voted
ICIP
2007
IEEE
15 years 11 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
ICCV
2003
IEEE
15 years 11 months ago
Boosting Chain Learning for Object Detection
A general classification framework, called boosting chain, is proposed for learning boosting cascade. In this framework, a "chain" structure is introduced to integrate h...
Rong Xiao, Long Zhu, HongJiang Zhang
84
Voted
IH
2007
Springer
15 years 3 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
94
Voted
ICCV
2011
IEEE
13 years 9 months ago
Learning a Category Independent Object Detection Cascade
Cascades are a popular framework to speed up object detection systems. Here we focus on the first layers of a category independent object detection cascade in which we sample a l...
Esa Rahtu, Juho Kannala, Matthew Blaschko
CVPR
2005
IEEE
15 years 11 months ago
Isophote Properties as Features for Object Detection
Usually, object detection is performed directly on (normalized) gray values or gray primitives like gradients or Haar-like features. In that case the learning of relationships bet...
Jeroen Lichtenauer, Emile A. Hendriks, Marcel J. T...