Side Face Contour Extraction Algorithm for Driving Fatigue Detection
نویسندگان
چکیده
منابع مشابه
The Research on Fatigue Driving Detection Algorithm
Researches on Driver Fatigue Detection System, which aims to ensure the safety of operations and to reduce traffic accidents caused by artificial factors, has been the major research subject in transportation safety. There is an enormous advantage in the method obtaining the driver's image by camera, We propose efficient tracking and detecting algorithm and with an appearance model based on haa...
متن کاملAn Algorithm for Face Detection and Feature Extraction
Face detection is the technique to locate various faces in an image, so that the face region will be extracted from the background. Face detection is considered as the backbone of topics like face recognition, face tracking, expression recognition etc. as if faces could be located exactly in any scene; recognition process would not be too much difficult. Recognition is mainly used for the purpo...
متن کاملExtraction of Lip Contour from Face
Lip segmentation is an essential stage in many multimedia systems such as video-conferencing, lip reading, or low bit rate coding communication systems. It is also useful in various image / video acquisition devices encouraged the development of many computer vision applications, such as vision -based surveillance, vision based man machine interfaces, vision-based biometrics, and so on. Hence e...
متن کاملReal-Time Head Detection with Kinect for Driving Fatigue Detection
Having found the contour of each region, we can use any ellipse fitting algorithm to fit an ellipse for the contour points. We calculate fitness for each region using the formula below (less fitness value means higher fitness degree): ∑n i=1 δi n · h (1) In conclusion, we calculate the normalized average offset of every contour points. After we get the fitness of each region. We return the regi...
متن کاملAutomatical detection of face features and exact face contour
The approach based on the mathematical morphology and the variational calculus is presented for the detection of an exact face contour in still grayscale images. The facial features (eyes and lips) are detected by using the mathematical morphology and the heuristic rules. Using these features an image is filtered and an edge map is prepared. The face contour is detected by minimizing its intern...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: DEStech Transactions on Engineering and Technology Research
سال: 2017
ISSN: 2475-885X
DOI: 10.12783/dtetr/iceea2016/6680