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» Speeded-Up Robust Features (SURF)
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CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
15 years 3 months ago
Adaptive Object Tracking using Particle Swarm Optimization
—This paper presents an automatic object detection and tracking algorithm by using particle swarm optimization (PSO) based method, which is a searching algorithm inspired by the ...
Yuhua Zheng, Yan Meng
VRST
2010
ACM
14 years 7 months ago
An adaptive training-free feature tracker for mobile phones
While tracking technologies based on fiducial markers have dominated the development of Augmented Reality (AR) applications for almost a decade, various real-time capable approach...
Jan Herling, Wolfgang Broll
JEI
2002
212views more  JEI 2002»
14 years 9 months ago
Morphology-based license plate detection in images of differently illuminated and oriented cars
This paper presents a morphology-based method for detecting license plates from cluttered images. The proposed system consists of three major components. At the first, a morpholog...
Jun-Wei Hsieh, Shih-Hao Yu, Yung-Sheng Chen
CVPR
2005
IEEE
15 years 11 months ago
Online Detection and Classification of Moving Objects Using Progressively Improving Detectors
Boosting based detection methods have successfully been used for robust detection of faces and pedestrians. However, a very large amount of labeled examples are required for train...
Omar Javed, Saad Ali, Mubarak Shah
JVCIR
2006
126views more  JVCIR 2006»
14 years 9 months ago
Efficient intra- and inter-mode selection algorithms for H.264/ AVC
Intra-frame mode selection and inter-frame mode selection are new features introduced in the H.264 standard. Intra-frame mode selection dramatically reduces spatial redundancy in ...
Andy C. Yu, King Ngi Ngan, Graham R. Martin