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» Speeded-Up Robust Features (SURF)
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CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
14 years 3 days 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
13 years 3 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»
13 years 5 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
14 years 7 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»
13 years 5 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