An Algorithm for Automatic Detection of Banners in Surveillance Videos

被引:1
|
作者
Cai, Zhaoquan [1 ]
Hu, Hui [1 ]
Luo, Wei [1 ]
Lin, Bin [2 ]
Huang, Han [2 ]
机构
[1] Huizhou Univ, Huizhou 516007, Peoples R China
[2] S China Univ Technol, Sch Software Engn, Guangzhou 510006, Peoples R China
基金
中国国家自然科学基金;
关键词
detection of banners in videos; SIFT; corner-detector algorithm; Hough linear fitting algorithm;
D O I
10.1109/ICCECT.2012.23
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:338 / 341
页数:4
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