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» Detecting Irregularities in Images and in Video
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CVPR
2004
IEEE
14 years 10 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
TIP
2002
131views more  TIP 2002»
13 years 8 months ago
Optimal edge-based shape detection
Abstract--We propose an approach to accurately detecting twodimensional (2-D) shapes. The cross section of the shape boundary is modeled as a step function. We first derive a one-d...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
ECCV
2004
Springer
14 years 10 months ago
Separating Transparent Layers through Layer Information Exchange
In this paper we present an approach for separating two transparent layers in images and video sequences. Given two initial unknown physical mixtures, I1 and I2, of real scene laye...
Bernard Sarel, Michal Irani
ICCV
2005
IEEE
14 years 10 months ago
Periodic Motion Detection and Segmentation via Approximate Sequence Alignment
A method for detecting and segmenting periodic motion is presented. We exploit periodicity as a cue and detect periodic motion in complex scenes where common methods for motion se...
Ivan Laptev, Josh Wills, Patrick Pérez, Ser...
SCIA
2007
Springer
151views Image Analysis» more  SCIA 2007»
14 years 2 months ago
A PCA-Based Technique to Detect Moving Objects
Abstract. Moving objects detection is a crucial step for video surveillance systems. The segmentation performed by motion detection algorithms is often noisy, which makes it hard t...
Nicolas Verbeke, Nicole Vincent