DocumentCode
3147450
Title
A rotation invariant and realtime online template matching method for object detection
Author
He, Zilong
Author_Institution
Inf. & Sci. Technol. Inst., Peking Univ., Shenzhen, China
fYear
2011
fDate
16-18 April 2011
Firstpage
2897
Lastpage
2900
Abstract
This paper propose an object recognition method based on template match that uses both gradient and LBP feature as the template feature. We also design a binary representation and quick bitwise operation for the proposed approach.
Keywords
feature extraction; image matching; image representation; object detection; LBP feature; binary representation; bitwise operation; gradient feature; local binary pattern feature; object detection; object recognition method; rotation invariant template matching; Boosting; Feature extraction; Histograms; Humans; Object detection; Real time systems; Robustness; LBP; online learning; rotation invariance; template feature;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5768198
Filename
5768198
Link To Document