In this paper, we deal with the performance evaluation method of user identification and user tracking for intelligent robots using face images. This paper shows general approaches for standard evaluation methods to improve intelligent robot systems as well as their algorithms. The evaluation methods proposed in this paper can be combined with the evaluation methods for detection algorithms of face region and facial components to measure the overall performance of face recognition in intelligent robots.

• 김대진 | Dae-Jin Kim
• 박광현 | Kwang-Hyun Park
• 홍지만 | Jiman Hong
• 정영숙 | Young Sook Jeong
• 최병욱 | Byoung-Wook Choi