본문 바로가기
KERD
논문KCI 등재

응용개발자를 위한 사용자 중심 얼굴검출 시스템 설계 및 구현

Design and Implementation of User-oriented Face Detection System for Application Developers

0

조회

0

다운로드

1

인용

0

참고문헌

키워드

초록

This paper provides a novel approach for a user oriented system for face detection system for application developers. Even though there are many open source or commercial libraries to solve the problem of face detection, they are still hard to use because they require specific knowledge on detail algorithmic techniques. The purpose of this paper is to come up with a high-level system for face detection with which users can develop systems easily and even without specific knowledge on face detection theories and algorithms. Important conditions are firstly considered to categorize the large problem space of face detection. The conditions identified here are then represented as expressions so that application developers can use them to express various problems. Once the conditions are expressed by developers, the interpreter proposed take the role to interpret the conditions, find and organize the optimal algorithms to solve the represented problem with corresponding conditions. A proof-of-concept is implemented and some example problems are tested and analyzed to show the ease of use and usability.

Abstract

This paper provides a novel approach for a user oriented system for face detection system for application developers. Even though there are many open source or commercial libraries to solve the problem of face detection, they are still hard to use because they require specific knowledge on detail algorithmic techniques. The purpose of this paper is to come up with a high-level system for face detection with which users can develop systems easily and even without specific knowledge on face detection theories and algorithms. Important conditions are firstly considered to categorize the large problem space of face detection. The conditions identified here are then represented as expressions so that application developers can use them to express various problems. Once the conditions are expressed by developers, the interpreter proposed take the role to interpret the conditions, find and organize the optimal algorithms to solve the represented problem with corresponding conditions. A proof-of-concept is implemented and some example problems are tested and analyzed to show the ease of use and usability.

참고문헌 (13)

  1. 정도영, "얼굴 특징 정보를 이용한 향상된 눈동자 추적을 통한 졸음운전 경보 시스템 구현", (사)디지털산업정보학회 논문지, 5(2), pp.167~176 (2009), (사)디지털산업정보학회
  2. 정용훈, "얼굴 인식과 RFID를 이용한 실시간 객체 추적 및 인증 시스템", (사)디지털산업정보학회 논문지, 4(4), pp.51~62 (2008), (사)디지털산업정보학회
  3. A.King, "A survey of methods for face detection", A survey written for a computer vision course, ~ (2003)
  4. P. Viola, "Rapid object detection using a boosted cascade of simple features", Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 1 (2001)
  5. M. H. Yang, "Detecting faces in images: A survey", IEEE Transactions on Pattern Analysis and Ma-Intelligence, 24(1), pp.34~58 (2002)
  6. P. Sinha, "Face recognition by humans: Nineteen results all computer vision researchers should know about", Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp.1948~1962 (2006)
  7. H. Rowley, "Rotation invariant neural network-based face detection", Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (1998)
  8. E. Osuna, "Training support vector machines: an application to face detection", IEEE Conference on Computer Vision and Pattern Recognition, pp.130~136 (1997)
  9. "OpenCV Library"[URL]
  10. "Luxand FaceSDK"[URL]
  11. "Fraunhofer"[URL]
  12. "OMRON OKAO Vision"[URL]
  13. M. Castrillon, "Identity and gender recognition using the encara real-time face detector", X Conferencia de la Asociación Española para la Inteligencia Artificial, ~ (2003)

관련 논문AI추천

이 간행물의 다른 논문 (27건)