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» Object Detection Via Boosted Deformable Features
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CVPR
2006
IEEE
14 years 9 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
BMVC
1997
13 years 9 months ago
Real-time Dynamic Deformable Meshes for Volumetric Segmentation and Visualisation
This paper presents a surface segmentation method which uses a simulated inflating balloon model to segment surface structure from volumetric data using a triangular mesh. The mod...
Richard Bowden, T. A. Mitchell, M. Sahardi
CVIU
2007
129views more  CVIU 2007»
13 years 7 months ago
Multi-view face and eye detection using discriminant features
Multi-view face detection plays an important role in many applications. This paper presents a statistical learning method to extract features and construct classifiers for multi-...
Peng Wang, Qiang Ji
CVPR
2009
IEEE
14 years 2 months ago
Fast car detection using image strip features
This paper presents a fast method for detecting multi-view cars in real-world scenes. Cars are artificial objects with various appearance changes, but they have relatively consist...
Wei Zheng, Luhong Liang
ICIP
2008
IEEE
14 years 9 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram