http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : ( Rabia Fayyaz ) (검색결과 7 건)
- 무료
- 기관 내 무료
- 유료
-
( Rabia Fayyaz ),이은주 ( Eun Joo Rhee ) 한국정보처리학회 2012 한국정보처리학회 학술대회논문집 Vol.19 No.1
The work is to the control the desktop Computers based on hand gesture recognition. This paper is worked on real time tracking and recognizes the hand gesture for controlling the slides based on hand direction such as right and left using a real time camera.
-
Emergency Signal Detection based on Arm Gesture by Motion Vector Tracking in Face Area
Rabia Fayyaz,박대준,이은주 한국정보전자통신기술학회 2019 한국정보전자통신기술학회논문지 Vol.12 No.1
This paper presents a method for detection of an emergency signal expressed by arm gestures based on motion segmentation and face area detection in the surveillance system. The important indicators of emergency can be arm gestures and voice. We define an emergency signal as the ‘Help Me’ arm gestures in a rectangle around the face. The ‘Help Me’ arm gestures are detected by tracking changes in the direction of the horizontal motion vectors of left and right arms. The experimental results show that the proposed method successfully detects ‘Help Me’ emergency signal for a single person and distinguishes it from other similar arm gestures such as hand waving for ‘Bye’ and stretching. The proposed method can be used effectively in situations where people can’t speak, and there is a language or voice disability.
-
Role of Psychosocial Support in Women Empowerment
Rabia FAYYAZ 이화여자대학교 아시아여성학센터 2012 이화여자대학교 아시아여성학센터 학술대회자료집 Vol.2012 No.7
Comprehensive Health and Education Forum (CHEF) International is working in the Charsadda District of Khyber Pakhtunkhwa Province of Pakistan, which has a population of over a million people. Culturally, Charsadda is one of the most conservative areas of KPK where men are considered dominant, and women have been victims of a wide range of discriminations, resulting in the deterioration of their mental health. Most of the people living in Charsadda belong to a poor socio-economic class. The area is recently affected by both conflict as well as natural disasters which makes the need for psychosocial support in women empowerment even more critical. Women empowerment educates and empowers women with the skills and confidence necessary to develop a healthy lifestyle, but it is not possible until she is provided with psychological / psychosocial empowerment. Thus the first step towards empowerment is psychologically empowering women. CHEF International is promoting and contributing towards comprehensive development especially for persons with disabilities. Mental Health is one of the major components where CHEF International is promoting and empowering individuals with a special focus on women in its field based hospital District Medical and Rehabilitation Complex. The team of Psychologists provides psychosocial support to women by initially identifying the needy, providing assessment and psychosocial support in order to rehabilitate them back into their respective communities. The rehabilitation process includes regular follow-ups inside the community by paying home visits, free medical camps on need basis, provision of awareness about mental health, and making referrals to the concerned departments. After complete psychosocial support, women also feel empowered in the other domains of life as well. With regular provision of awareness and education on mental health people have gradually started understanding the importance of mental health on their lives, leading to empowerment and behavioral change in a very cost efficient manner. With the passage of time and provision of high quality services the community has gained a lot of confidence in the Mental Health Unit of DMRC, and as a result the number of visitors has increased manifolds. CHEF International is planning to strengthen and extend the program on mental health in future so as to empower and rehabilitate more and more women from the community.
-
-
Accurate Camera Self-Calibration based on Image Quality Assessment
Fayyaz, Rabia,Rhee, Eun Joo Korea Data Strategy Society 2018 Journal of information technology applications & m Vol.25 No.2
This paper presents a method for accurate camera self-calibration based on SIFT Feature Detection and image quality assessment. We performed image quality assessment to select high quality images for the camera self-calibration process. We defined high quality images as those that contain little or no blur, and have maximum contrast among images captured within a short period. The image quality assessment includes blur detection and contrast assessment. Blur detection is based on the statistical analysis of energy and standard deviation of high frequency components of the images using Discrete Cosine Transform. Contrast assessment is based on contrast measurement and selection of the high contrast images among some images captured in a short period. Experimental results show little or no distortion in the perspective view of the images. Thus, the suggested method achieves camera self-calibration accuracy of approximately 93%.
-
Emergency Signal Detection based on Arm Gesture by Motion Vector Tracking in Face Area
Fayyaz, Rabia,Park, Dae Jun,Rhee, Eun Joo Korea Information Electronic Communication Technol 2019 한국정보전자통신기술학회논문지 Vol.12 No.1
This paper presents a method for detection of an emergency signal expressed by arm gestures based on motion segmentation and face area detection in the surveillance system. The important indicators of emergency can be arm gestures and voice. We define an emergency signal as the 'Help Me' arm gestures in a rectangle around the face. The 'Help Me' arm gestures are detected by tracking changes in the direction of the horizontal motion vectors of left and right arms. The experimental results show that the proposed method successfully detects 'Help Me' emergency signal for a single person and distinguishes it from other similar arm gestures such as hand waving for 'Bye' and stretching. The proposed method can be used effectively in situations where people can't speak, and there is a language or voice disability.
-
Accurate Camera Self-Calibration based on Image Quality Assessment
Rabia Fayyaz,이은주 한국데이터전략학회 2018 Journal of information technology applications & m Vol.25 No.2
This paper presents a method for accurate camera self-calibration based on SIFT Feature Detection and image quality assessment. We performed image quality assessment to select high quality images for the camera self-calibration process. We defined high quality images as those that contain little or no blur, and have maximum contrast among images captured within a short period. The image quality assessment includes blur detection and contrast assessment. Blur detection is based on the statistical analysis of energy and standard deviation of high frequency components of the images using Discrete Cosine Transform. Contrast assessment is based on contrast measurement and selection of the high contrast images among some images captured in a short period. Experimental results show little or no distortion in the perspective view of the images. Thus, the suggested method achieves camera self-calibration accuracy of approximately 93%.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
