Yu Chenchen, Hou Zhiqiang, Yu Wangsheng, Pu Lei, Ma Sugang
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引用次数: 0
Abstract
At present, several mainstream algorithms using color name (CN) all adopt Principal Component Analysis (PCA) to process the feature. However, PCA assumes that the noise of input data must obey Gaussian distribution, which is a conspicuous defect. Aim to address this problem, in this paper, we take Robust Principal Component Analysis (Robust PCA) to process CN features. The method projects the original RGB color space to a robust color space–CN space, which means that the input image is stratified to 11 layers according to color name. Then, it processes the CN features by the Robust PCA, so that the mapped image information is concentrated on a few layers, retaining a great quantity of image information and filting out noise. The processed feature is used for Color-tracking frame at the standard benchmark OTB100, and we set up different layers to compare the performance differences of the algorithm. The experimental results show that the success rate increases by 1.0% and the accuracy increases by 0.9% at OTB100. The result illustrates that the Robust PCA method can better bring color name feature superiority into full play and improve the performance of the algorithm effectively.
光电工程Engineering-Electrical and Electronic Engineering
CiteScore
2.00
自引率
0.00%
发文量
6622
期刊介绍:
Founded in 1974, Opto-Electronic Engineering is an academic journal under the supervision of the Chinese Academy of Sciences and co-sponsored by the Institute of Optoelectronic Technology of the Chinese Academy of Sciences (IOTC) and the Optical Society of China (OSC). It is a core journal in Chinese and a core journal in Chinese science and technology, and it is included in domestic and international databases, such as Scopus, CA, CSCD, CNKI, and Wanfang.
Opto-Electronic Engineering is a peer-reviewed journal with subject areas including not only the basic disciplines of optics and electricity, but also engineering research and engineering applications. Optoelectronic Engineering mainly publishes scientific research progress, original results and reviews in the field of optoelectronics, and publishes related topics for hot issues and frontier subjects.
The main directions of the journal include:
- Optical design and optical engineering
- Photovoltaic technology and applications
- Lasers, optical fibres and communications
- Optical materials and photonic devices
- Optical Signal Processing