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» Online Selection of Tracking Features using AdaBoost
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ICIP
2009
IEEE
15 years 10 months ago
Rapid And Robust Human Detection And Tracking Based On Omega-shape Features
This paper proposes a novel method for rapid and robust human detection and tracking based on the omega-shape features of people's head-shoulder parts. There are two modules ...
ICRA
2007
IEEE
116views Robotics» more  ICRA 2007»
15 years 3 months ago
Using Boosted Features for the Detection of People in 2D Range Data
— This paper addresses the problem of detecting people in two dimensional range scans. Previous approaches have mostly used pre-defined features for the detection and tracking o...
Kai Oliver Arras, Óscar Martínez Moz...
CIVR
2010
Springer
235views Image Analysis» more  CIVR 2010»
14 years 8 months ago
Dynamic textures for human movement recognition
Human motion can be seen as a type of texture pattern. In this paper, we adopt the ideas of spatiotemporal analysis and the use of local features for motion description. movements...
Vili Kellokumpu, Guoying Zhao, Matti Pietikäi...
CVPR
2005
IEEE
15 years 3 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ICPR
2006
IEEE
15 years 10 months ago
Patch-Based Gabor Fisher Classifier for Face Recognition
Face representations based on Gabor features have achieved great success in face recognition, such as Elastic Graph Matching, Gabor Fisher Classifier (GFC), and AdaBoosted Gabor F...
Shiguang Shan, Wen Gao, Xilin Chen, Yu Su