Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
In this paper, we develop face and hand activity detection for motion recognition system. In initial stage, a skin color segmentation method for the color image with complex background is presented, which is a mixed skin color segmentation model in both HSI and YCbCr color space constructed. After skin color segmentation, improved face feature extraction method is proposed. Then the improved CAMSHIFT...
We combine and extend the previous work on DCT-based image signatures and face detection to determine the visual saliency. To this end, we transfer the scalar definition of image signatures to quaternion images and thus introduce a novel saliency method using quaternion type-II DCT image signatures. Furthermore, we use MCT-based face detection to model the important influence of faces on the visual...
An improved face detection and recognition method based on information of skin color is proposed in this paper. Color is a powerful fundamental cue of human faces. Skin color detection is first performed on the input color image to reduce the computational complexity. Morphological operations are used and it gives a prior knowledge for face detection. Face is detected by Adaboost algorithm. AdaBoost...
This paper proposes an adaptation of Local Binary Pattern (LBP) operator for the design of the precise face localization technique. Presented approach is divided into three main stages: face detection, detection of eye regions and localization of eye pupils. Introduced optimization principles and the discriminative power of the LBP significantly reduces the number of features used to describe the...
This paper presents a real-time image processing of human face identification for home service robot (HSR). This vision system is set up by two individual sub-systems. The first one is face detection and tracking sub-system based on adaptive skin detector, condensation filter with parallel computing particles, and Haar-like classifier. And a simple and fast motion predictor is also proposed for face...
Human tracking is an important function to an automatic surveillance system using a vision sensor. Human face is one of the most significant features to detect person(s) in an image. However, face is not always observed from a single camera. Therefore, it is difficult to identify a person exactly in an image due to the variety of poses. This paper describes a method for automatic human tracking based...
Human face detection has become a major field of interest in current research because there is no deterministic algorithm to find face(s) in a given image. Further the algorithms that exist are very much specific to the kind of images they would take as input and detect faces. The problem is to detect faces in the given, colored group photograph. In this paper, an improved segmentation algorithm for...
This paper presents a methodology for the automatic detection of human conscious responses to different auditory stimuli during the performance of an audiogram. An audiogram is the standard way of analyze the hearing of a patient in order to diagnose hearing loss. From a video sequence captured during the hearing evaluation performed by an expert to a patient, the methodology will be able to detect...
Face Recognition remains a challenging task over two decades in spite of many advances. Face Localization and Detection forms an important step in Face Recognition systems, face tracking in video surveillance, gesture analytics, etc. Many algorithms are in use for face detection each having their relative advantages and disadvantages. The challenges of the task emanate from with image specific variations...
Face alignment is a crucial step in face recognition tasks. Especially, using landmark localization for geometric face normalization has shown to be very effective, clearly improving the recognition results. However, no adequate databases exist that provide a sufficient number of annotated facial landmarks. The databases are either limited to frontal views, provide only a small number of annotated...
On the one hand, face detection and recognition is an active interdisciplinary area of research that uses techniques from computer vision, image processing and pattern recognition. On the other hand, neural networks have been widely used to address problems in feature extraction, pattern recognition, and in general, the same kind of problems. Our proposal here is to use neural networks in the development...
In the paper, we proposed a gender recognition scheme based on color information. The proposed gender recognition scheme is comprised of four parts: face detection, eye detection, feature extraction, and gender classifier. To evaluate the proposed scheme, a large number of images containing different-size faces are captured by using low-cost web cam. Experimental results show that our proposed scheme...
The research of face recognition technology in this paper is developed towards face detection technology of skin color segmentation and face geometrical characteristics. In addition, a software system that takes advantage of facial recognition to recognize the number of people is designed. The software is mainly composed of image pre-processing, skin color region detection, morphological processing,...
In this paper, we present a robust approach for face recognition from video sequences. An automatic face detectoris employed which uses modified skin color modeling to detect human skin regions from the video sequences. The presence or absence of face in each region is verified by means of height width proportion and a Neural Network based template matching scheme. The obtained face images are then...
Security methods based on biometrics are gaining importance increasingly for the past few years due to several major security disasters that occurred in the last decade. The successful development of biometric security systems cannot only minimise such threats but may also help in preventing them from happening on a global scale. Biometric security methods take into account humans' unique physical...
An efficient face detection scheme that can detect multiple faces in a color image with a complex environment and different illumination levels is proposed in this paper. The first stage adopts skin color-based segmentation to search potential face regions. The second stage detects the lip in potential face regions using a lip color model and searches the eyes using geometry textures. The last stage...
In this thesis, we propose a skin color detection algorithm based on adaptive model and design Gaussian classifier. Confirm face according to the geometric relationship of face features and organs. To raise the detection rate, we use the mosaic rules to make a further verification. Experimental results show that the method we put forward can detect the facial area correctly.
This paper puts forward a adaptive face detection algorithm. First face is choosed by the adaptive skin color model and eyebrow and eyes are located by integral projection. Then coordinates of eye center are confirmed by the method which makes use of mixed round and elliptic based on hough transform. Finally, face is detected by the human eye center mapping. The experimental results show that the...
The paper presents an algorithm designed to face and facial features (eyes, eyebrows) detection. First, human skin regions are segmented and processed by morphological operators to detect the human face. After the face has been detected, a series of parameters that will be taken into account by the eyes detection stage are calculated. The most important parameters are face orientation and distance...
Due to the development of technology, electronics have become intertwined with our daily lives. Because of our reliance on such products, they need to be user-friendly, thus, improving current technology products is critical. One example of an electronic product with an opportunity for improvement is the projector. In many places, projectors have become an indispensable instrument for presentations...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.