Face detection using TSK-type fuzzy cerebellar model articulation controller network

Jyun Guo Wang, Shen Chuan Tai, Cheng Jian Lin

研究成果: Article同行評審

2 引文 斯高帕斯(Scopus)

摘要

Face detection is a topic concerning businesses that use security surveillance systems, and accurate detection is critical for the subsequent analysis of images used in facial recognition. In this study, we propose a face-detection method that involves using lighting compensation, skin-color analysis, and a TSK-type fuzzy cerebellar model articulation controller (TSK-type FCMAC) network. The proposed TSK-type. FCMAC network has some advantages, such as include its fast rapid learning property, good generalization generalizaMlity capability, easy to ease of implementation, and small lower required computing computer-memory requirements. Our experimental results confirm that the proposed method outperforms other models and effectively overcomes the problems of face variation and complex backgrounds.

原文English
頁(從 - 到)707-717
頁數11
期刊International Journal of Innovative Computing, Information and Control
11
發行號2
出版狀態Published - 2015 一月 1

All Science Journal Classification (ASJC) codes

  • 軟體
  • 理論電腦科學
  • 資訊系統
  • 計算機理論與數學

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