نتایج جستجو برای: face detection

تعداد نتایج: 720485  

Journal: :journal of artificial intelligence in electrical engineering 0
peyman jabraelzade rahim parikhani

this paper demonstrates design and fabrication o f a mechatronic system for human drowsiness detection. this system can be used in multiple places. for example, in factories, it is used on some dangerous machinery and in cars in order t o prevent the operator o r driver from falling asleep. this system is composed of three parts: (1) mechanical, (2) electrical and (3) image processing system. a...

Journal: :journal of advances in computer research 0

the problem of eye detection in face images is very important for a large number of applications ranging from face recognition to gaze tracking. in this paper we propose a new algorithm for eyes detection. first, the face region is extracted from the image by skin-color information. second, horizontal projection in image is used to approximate region of the eye be obtained . at last, the eye ce...

Journal: :the modares journal of electrical engineering 2010
ali - taimori alireza - behrad hassan - ghassemian

in this paper, we propose a novel method for fully automatic detection and tracking of human heads and faces in video sequences. the proposed algorithm consists of two modules: a face detection module and a face tracking module. the detection module, detects the face region and approximates it with an ellipse at the first frame using a modified version of adaboost cascaded classifier. the detec...

1993
Guangzheng Yang Thomas S. Huang

Fiibding human f a c e s automatically in a scene is a d i f f i c u l t yet significant problem. T h i s i s the first important step in a f u l l y automatic human f a c e recogiiition system. In this pap,er w e p ~ ~ p o ~ e a new method lo locate human f a c e s in a complex background. T h i s Jystem utilizes a hierarchical know ledge-based method and consists of three levels. T h e higher...

Journal: :international journal of smart electrical engineering 2012
sepideh araban fardad farokhi kaveh kangarloo

detecting faces in cluttered backgrounds and real world has remained as an unsolved problem yet. in this paper, by using composition of some kind of independent features and one of the most common appearance based approaches, and multilayered perceptron (mlp) neural networks, not only some questions have been answered, but also the designed system achieved better performance rather than the pre...

Journal: :journal of artificial intelligence in electrical engineering 0
sima emami1 emami journal of artificial intelligence in electrical engineering ramin meshkabadi journal of artificial intelligence in electrical engineering,

the human facial recognition is the base for all facial processing systems. in this work a basicmethod is presented for the reduction of detection time in fixed image with different color levels.the proposed method is the simplest approach in face spatial localization, since it doesn’trequire the dynamics of images and information of the color of skin in image background. inaddition, to do face...

The face Detection methodsis used in order to provide security. The mentioned methods problems are that it cannot be categorized because of the great differences and varieties in the face of individuals. In this paper, face Detection methods has been presented for overcoming upon these problems based on skin color datum. The researcher gathered a face database of 30 individuals consisting of ov...

2002
Miroslav Hamouz Josef Kittler Jiri Matas Petr Bílek

We propose a novel framework for detecting human faces based on correspondences between triplets of detected local features and their counterparts in an affine invariant face appearance model. The method is robust to partial occlusion, feature detector failure and copes well with cluttered background. Both the appearance and configuration probabilities are learned from examples. The method was ...

2007
Javier Lorenzo-Navarro Oscar Déniz-Suárez Modesto Castrillón Santana Cayetano Guerra

This work presents a comparison among different focus measures used in the literature for autofocusing in a non previously explored application of face detection. This application has different characteristics to those where traditionally autofocus methods have been applied like microscopy or depth from focus. The aim of the work is to nd if the best focus measures in traditional applications o...

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