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» Object detection using spatial histogram features
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127
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ICPR
2006
IEEE
16 years 4 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
211
Voted
CVPR
2009
IEEE
2358views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Pictorial Structures Revisited: People Detection and Articulated Pose Estimation
Non-rigid object detection and articulated pose estimation are two related and challenging problems in computer vision. Numerous models have been proposed over the years and oft...
Mykhaylo Andriluka (TU Darmstadt), Stefan Roth (TU...
99
Voted
ICPR
2004
IEEE
16 years 4 months ago
Robust Modelling of Local Image Structures and Its Application to Medical Imagery
A robust modelling method for detecting and measuring isotropic, linear features and bifurcations is described and applied to analysing 2d eletrophoresis and retinal images. Featu...
Li Wang, Abhir Bhalerao, Roland Wilson
PR
2006
154views more  PR 2006»
15 years 3 months ago
A fuzzy logic approach for detection of video shot boundaries
Video temporal segmentation is normally the first and important step for content-based video applications. Many features including the pixel difference, colour histogram, motion, ...
Hui Fang, Jianmin Jiang, Yue Feng
145
Voted
AVSS
2008
IEEE
15 years 9 months ago
Automatic Detection of Adverse Weather Conditions in Traffic Scenes
Visual surveillance in outdoor environments requires the monitoring of both objects and events. The analysis is generally driven by the target application which, in turn, determin...
Andrea Lagorio, Enrico Grosso, Massimo Tistarelli