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Face image analysis continues as an ongoing challenge in biometrics and image processing due to the state variations of facial elements. In this context, the mouth-state plays a fundamental role because its impact on the perception of facial gestures. Current work on mouth-state detection is mainly focused on the creation of classifiers derived from large training datasets. This technique requires...
Human skin detection and face recognition is a very active area for research in the field of image processing. It is used to prevent many crimes and helps to provide public security. Due to the high complexity in techniques such as real time processing and image contents analysis/understanding, a well-developed product is not available until now in this field. In this work, human presence is detected...
A method is presented for enhanced facial detection and replacement. This method builds on previous methods by addressing three key shortcomings: low performance, a tendency to misidentify walls as faces, and poor blending of the replacement face with the host body. General purpose graphics processing unit (GPGPU) technology is used to make this method feasible for use. Parameters for the algorithm...
Person re-identification is an important problem in computer vision, which involves matching appearance of individuals between non-overlapping camera views. In this paper we present a novel appearance-based method for person re-identification problem. Color feature, Gabor, local binary pattern (LBP) are utilized to form a covariance descriptor to handle the difficulties such as varying illumination,...
An improved face detection and recognition method based on information of skin color and depth obtained by binocular vision system was proposed in this paper. With this method, the face area was detected firstly by using Adaboost algorithm. Afterwards, the real face was distinguished from fake one by using the skin color information and the depth data. Then, by using PCA algorithm, a specific face...
The detection and tracking of faces and facial features in video sequences is a fundamental and challenging problem in computer vision. This research area has many applications in face identification systems, model-based coding, gaze detection, human-computer interaction, teleconferencing, etc. This work presents a real time system for detection and tracking of facial features in video sequences....
In TCM theory, gloss and moisture are recognized as the Qi; blue, red, yellow, white and black are recognized as the color, the five colors governs blood, the gloss governs sprit and Qi. We may estimate the overabundance or insufficiency of the viscera's essence by observing the changes of face gloss, which is a very important way to judge the condition and extrapolate the prognosis. However, because...
Human face tracker is one of important research areas that is continuously developing. Many methods have been developed for performing an effective and efficient face tracker based system application. One category of the face tracker methods is the real-time face tracker, which is a challenging task in this field. This paper presents a real-time human face tracker development using facial feature...
In TCM theory, brightness and moisture is recognized as the Qi , blue red yellow white and black is recognized as the color, the five colors charges blood, the gloss charges Shen. We may diagnose the internal organs' essence by observing the changes of face gloss, which is a very important way to judge the condition and extrapolate the prognosis. However, because of lacking of objective data, the...
Face detection problem has been thoroughly studied in the computer vision community due to its fundamental challenges and interesting applications. Using information of skin color to detect face regions is a quick and effective way. However, it is very difficult to choose a suitable color space when designing a specific face detection algorithm since the discriminating power of the mostly used color...
Face detection and recognition is a hot research subject in the fields of image processing, pattern recognition and computer vision, which emphasize on the enhancement of the precision of detection in as short a time as possible. This paper expounds on how to detect human faces accurately from complex pictures by means of the technology of judgement based on the combination of the feature of Haar...
The driver's face orientation monitoring is an important component of driving assistant of vehicle safety, and it is one of the effective measures for preventing serious traffic accidents. In a large number of research methods, the method based on vision has been a leading technique due to its hardware's characteristics of small size, low cost and non-intrusiveness to drivers. This paper presents...
In this paper, we propose the Interest Meter (IM), a system making computer conscious of user's reactions, to measure user's interest in real time. The Interest Meter takes account of users' spontaneous reactions when users interact with computers. In this work, we analyze variations of user's eye movement, blink, head motion, and facial expression. Furthermore, we propose an algorithm to combine...
This paper presents a simple face detection algorithm which is based on skin color model and can be easily realized and transplanted, with high-performance and high-precision. Through non-linear sub-color transformation, this algorithm pre-processes images after completing face color modeling. Coupled with the segmentation algorithm based on the combination of borders and the region, which is proposed...
For sophisticated background, a fast and self-adaptive face detection algorithm based on skin color is introduced. In this algorithm, histogram skin color model was built with great amount of skin color pixels in HS color space first, and then skin color segmentation was made to images by using histogram backprojection, in which a binary image of skin color area was obtained after thresholding. Morphological...
Face detection in computer vision and pattern recognition technology as an important Subject has high academic value and commercial value. Studies the face detection based on Adaboost algorithm, and presents a face detection method based on skin color and Adaboost algorithm. First transforms the input color images form RGB space to YCrCb space, then uses morphologic methods to make area skin segmentation,...
This paper presents a driving fatigue monitoring method with machine vision algorithm, which is based on computing complexity. And a DSP system based on this method is also introduced. In this method, we firstly binarizated image which contains driver's facial information, to distinguish face area from background.. Then the binarizated luminance components is horizontally and vertically accumulated...
Eye tracking is the process of measuring either the point of gaze or the motion of an eye relative to the head. To make the eye pupil more clearly, in the eye tracking relevant study, most of them introduced the infrared light as a light source. In this paper, we propose an approach of eye tracking system in visible environment base on computer vision. The method contains eye positioning, and eye...
Exact and fast driver face detection is a key for recognising whether drivers are fatigue or not by detecting ficial organs while driving using machine vision technology. Aiming at the limitation of driver face detection algorithm based on single feature in detection precision and reliability, a novel fusion algorithm of driver face detection is proposed. Firstly, an improved face detection algorithm...
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