DocumentCode :
2988773
Title :
An Algorithm for Automatic Detection of Banners in Surveillance Videos
Author :
Zhaoquan Cai ; Hui Hu ; Wei Luo ; Bin Lin ; Han Huang
Author_Institution :
Huizhou Univ., Huizhou, China
fYear :
2012
fDate :
7-9 Dec. 2012
Firstpage :
338
Lastpage :
341
Abstract :
In this paper we mainly focus on the effects of two different algorithms for automatic detection of banners in practical use. These two algorithms are scale-invariant feature transform (SIFT) and Hough transform-based contour feature extraction method, respectively. A new algorithm based on color threshold and corner detector is described. This algorithm can capture color features and corner of images effectively, especially for objects with certain color such as bright red banners. The experimental results indicate that we can obtain the most stable and effective structure element characteristic in images when applying the algorithm based on color threshold and corner detector.
Keywords :
Hough transforms; feature extraction; image colour analysis; object detection; video signal processing; video surveillance; Hough transform; SIFT; automatic banner detection; bright red banner; color feature; color threshold; contour feature extraction; corner detector; image corner; scale-invariant feature transform; surveillance video; Algorithm design and analysis; Detectors; Feature extraction; Histograms; Image color analysis; Vectors; Videos; Hough linear fitting algorithm; SIFT; corner-detector algorithm; detection of banners in videos;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
Conference_Location :
Liaoning
Print_ISBN :
978-1-4673-4499-9
Type :
conf
DOI :
10.1109/ICCECT.2012.23
Filename :
6414091
Link To Document :
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