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» Classifier Grids for Robust Adaptive Object Detection
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FGR
2004
IEEE
134views Biometrics» more  FGR 2004»
13 years 11 months ago
Face Contour Construction with Multiple Information
In this paper, we present a new method to obtain the contours of color faces. First, we introduce a new nonlinear skin classifier to detect the human skin information in images. T...
Jinfeng Yang, Tieniu Tan, Weiming Hu
ICIP
2010
IEEE
13 years 5 months ago
A cascaded hierarchical framework for moving object detection and tracking
In this paper we propose a cascaded hierarchical framework for object detection and tracking. We claim that, by integrating both detection and tracking into a unified framework, t...
Chingchun Huang, Sheng-Jyh Wang
ECCV
2008
Springer
14 years 9 months ago
Multiple Component Learning for Object Detection
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
Boris Babenko, Pietro Perona, Piotr Dollár,...
TOG
2008
143views more  TOG 2008»
13 years 7 months ago
Discovering structural regularity in 3D geometry
We introduce a computational framework for discovering regular or repeated geometric structures in 3D shapes. We describe and classify possible regular structures and present an e...
Mark Pauly, Niloy J. Mitra, Johannes Wallner, Helm...
IROS
2009
IEEE
189views Robotics» more  IROS 2009»
14 years 2 months ago
Moving object detection by multi-view geometric techniques from a single camera mounted robot
— The ability to detect, and track multiple moving objects like person and other robots, is an important prerequisite for mobile robots working in dynamic indoor environments. We...
Abhijit Kundu, Madhava M. Krishna, Jayanthi Sivasw...