Towards Independent Color Space Selection for Human Skin Detection
文献类型：会议论文
| 作者 | Tao Xu ; Yunhong Wang; Zhaoxiang Zhang
|
| 出版日期 | 2012-12-04 |
| 会议日期 | 4-6 December 2012 |
| 会议地点 | Singapore, Singapore |
| 关键词 | Skin Detection Color Space Flexible Neural Tree Skin Classification |
| 英文摘要 | Skin color detection plays an important role in video based applications. Without considering the selection of suitable color space, a novel skin color detection method is proposed based on the flexible neural tree, which can identify the important components of color spaces automatically. With large training data sets, our method builds a flexible neural tree structure and optimizes its parameters using Genetic Programming and Particle Swarm Optimization algorithms. In experiments, features comprised of all channels extracted from RGB, YCbCr and HSV color spaces are used for the constructing and evaluating of the novel skin color model, in which six most important components, i.e., R, G, B, Y, Cr and S are selected for testing. Furthermore, our method achieves higher accuracy and lower false positive rate than state of the art methods on Compaq and ECU data set. |
| 会议录 | PCM 2012
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13257]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Zhaoxiang Zhang |
| 推荐引用方式 GB/T 7714 | Tao Xu,Yunhong Wang,Zhaoxiang Zhang. Towards Independent Color Space Selection for Human Skin Detection[C]. 见:. Singapore, Singapore. 4-6 December 2012. |
入库方式： OAI收割
来源：自动化研究所
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