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» Object Detection Via Boosted Deformable Features
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CVPR
2006
IEEE
15 years 11 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
14 years 11 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»
14 years 9 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
15 years 4 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
15 years 11 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