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Nowadays, many lectures and presentations are recorded and broadcasted for teleteaching applications. When no human camera crew is present, the most obvious choice is for static cameras. In order to enhance the viewing experience, more advanced systems automatically track and steer the camera towards the lecturer. In this paper we propose an even more advanced system that tracks the lecturer while...
The idea of this paper is based on three key points: The first is to propose a method allowing finding possible angles to rotate a Haar-Like feature without destroy its sides. The tangent of each angle equal to an rational number i.e. each angle equal to acrtan(Y/X) where Y and X are integers. The second point is manifested by the use of this rational number to determine the pixels forming the sides...
The classification of eye gaze direction is a growing topic in the field of computer vision research. It has been found to have a wide range of potential applications. However, implementing a robust eye gaze direction classification system is still a challenge which requires more effort. This paper introduces an eye gaze classification algorithm which uses Viola-Jones algorithm for face detection...
Due to a problem of current research concerning with occlude face detection occurring when detecting occluded face captured from any viewpoint of head between −90 degrees to +90 degrees, we propose a new method to detect occluded face from a viewpoint of face by skin color ratio of two parts of head region. Head data is captured from any viewpoint between −90 degrees to +90 degrees of viewpoint of...
In case of intelligent biometric system facial features identification is a challenging task. Facial features like eye, mouth, lip are the critical factor to express human emotion. Face and facial features detection can be implemented automatically with the help of computer, but it is a difficult work. In this paper, a new frame work has been proposed for a fast and efficient detection of face and...
The paper proposes a robust face detection technique based on skin color clustering and geometric feature. Skin regions are extracted using Gaussian skin color model in Cb-Cr space and likelihood ratio method is used to create a binary mask. Further, morphological operations and adaptive thresholding is applied to group the potential face regions and remove noisy pixels. The region thus extracted...
The aim of this project is to develop a technique to control a wheel chair by tracking the eye movement of a person. This device will assist those severely disable people, who cannot move their hands and legs, to easily move just by the motion of their eyes. The first step is to locate the face of the person. Face detection is done by segmentation through skin color using an adaptive thresholding...
The study presented aims to design and develop a face recognition system. The system utilized Viola Jones Algorithm in detecting faces from a given image. Also the system used Artificial Neural Networks in recognizing faces detected from the input. Upon experimentation the system generated can recognize human faces with accuracy of 87.05%. The system performs at its best if the person is around 150cm...
Face detection has been the most important phase in identifying facial expressions. To detect a face has been more difficult and since then more methods have been evolving to simplify the task. One such method is to first segment the image based on the skin area and then to detect the face. The approach of this paper is to segment facial region based on L∗a∗b color model, apply some efficient parameters...
In this work we design an adaptive color constancy algorithm that, exploiting the skin regions found in faces, is able to estimate and correct the scene illumination. The algorithm automatically switches from global to spatially varying color correction on the basis of the illuminant estimations on the different faces detected in the image. An extensive comparison with both global and local color...
This paper contains experimental procedure of webcam-based eye-tracker specially for low power devices. This paper consists of five processes. First one is background suppression for reducing average processing requirement. Second one is Haar-cascade feature-based face detection algorithm. Third one is geometrically eye-position determination. The fourth part is to detect and track eye-ball center...
Currently pornographic image on the online world, teenagers and kids can visit easily. Which stimulate sexual desire. Resulting behavior of sexual abuse, enticing a child under the age of 15 years increased, cause problems getting pregnant and sexually transmitted diseases. Pornographic detection is essential to prevent to access through analyzing image content. Many researchers are interested in...
In this paper, we proposed a quality enhancement scheme to deal with low- and high-exposure images. The proposed scheme is composed of three parts: face detection, dominate color detection, and quality enhancement. After face detection, dominant color detection is used to compute the color information of the detected facial area. A simple rule is used to determine the exposure level of an image. According...
Real-time human detection and tracking is a vast, challenging and important field of research. It has wide range of applications in human recognition, human computer interaction (HCI), video surveillance etc. The research for biometric authentication of a person has reached far but the real-time tracking of human beings has not gained much importance. Tracking of human being can be used as a prior...
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...
This paper proposes a novel system for people counting based on face detection and tracking. Through the real time processing of video image gotten from monitor devices, the system detect the faces and combine with set people counting area to realize automatic people counting. In this system, firstly we set face tracking area and people counting area, then use AdaBoost and skin color character algorithm...
Face detection methods are in general applied frame by frame based on face characteristics. Human faces are part of a living body in which there is a constant blood flow. It has been recently demonstrated that heart rate could be estimated with simple consumer level digital cameras. In this paper, we propose a new method to detect faces in a video stream based on the detection of heart rate. Images...
The appearances of human face, expression, color and so on are different, which bring difficulties to face detection. This paper proposed a novel multi-face detection algorithm mainly Based on improved Gaussian distribution model. Utilizing the skin-color model and facial features firstly, most likelihood regions of face candidates can be excluded quickly. Then, two Gaussian distribution curves are...
Extraction of the human body in single, unconstrained, monocular images is a very difficult task. Localization and extraction of the body region, however, provides important and useful knowledge that can facilitate many other tasks, such as gesture recognition, pose estimation and action recognition. In this paper we present a simple appearance-based methodology that combines face detection, skin...
This paper presents a novel adaptive method for the complexion extraction. Under the framework of the fuzzy entropy theory, our proposed method can automatically select the best segmentation points (the optimal thresholds) between the skin regions and background regions based on the skin color information. Furthermore, utilizing the fuzzy inference, the extracted optimal thresholds can be used to...
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