The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper a method is presented for detection of melanin globules often present in melanocytic skin lesions images. The detection is done by performing image analysis similar to the one used in clinical evaluation. The method uses multi-stage image filtering to extract objects present in the dermoscopic image that match globule structure pattern. Classification of the found objects is made based...
In this paper an algorithm which is able to count the number of fingers from a hand posture is presented. The method is based on hand contour and skin colour information. The middle axes of the fingers are detected. The method is robust regard the hand edge detection.
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...
In recent years, many researches were focused on the remote control of appliances by using hand gestures. It could narrow the gap of interaction between human and machines. In most of the gesture recognition systems, the skin colors of different mankind and the lighting conditions of clutter background environments are the major problems for the hand shape segmentation. In this paper, we propose a...
In a real-time face recognition system, complex background that occurs in an image or video can degrade the accuracy of both face detection and recognition due to the uncontrolled environment. However, few studies have been proposed to address this issue. In this paper, we propose an adaptive skin color model to make the system more reliable. First, real face region is elected among face-like regions...
Melanoma can be cured if it is detected early, so early diagnosis is very important in dermatological practice today. Early and non-invasive diagnosis of melanomas can be done by accurate image segmentation of skin lesions. The medical images, while acquisition are generally bound to contain noise. This paper proposes a robust and efficient image segmentation algorithm using LOG edge detector to extract...
Grabcut is an Interactive segmentation algorithm, which is employed to extract the foreground of an image, but it works wrong frequently when the pixels around the foreground are similar to the pixels of the background. We advance a new cost function to correct the mistake after we analyze the reason why it works wrong. Experimental results show that the new cost function outperforms the original...
Human's safety in construction areas is vital. A hard hat is required to enter a construction area. Stopping a person who is not wearing a hard hat entering a construction area is very important. Video-based surveillance to detect hard hat is a new solution to this safety problem. This paper brings different video processing techniques together to construct a framework for fast and robust hard hat...
Facial rejuvenation has driven a lot of research in the field of dermatology and plastic surgery, leading to many medical procedures. This paper proposes an age prediction method that could be used to better understand the ageing process and to evaluate the benefits of a rejuvenating treatment, for example. A supervised Facial Model (SFM) is built using Partial Least Squares regression (PLSR) to capture...
In computer vision, many applications could greatly benefit from multi-spectral image data. Our aim is to illustrate the effectiveness of multi-spectral analysis obtained from a simple and cost-effective system. While the proposed approach is broadly applicable, in this paper we focus on the specific case of skin detection. To obtain the multi-spectral data, we have assembled a system using multiple...
Color differences are determined by illumination, the spectral reflectance of objects, and the spectral sensitivity of the imaging sensor. In this paper, we explore the optimal illumination conditions that best separate one object from another. Given two objects with distinct spectra, we derive the optimal illumination spectrum to maximize their color distance with a plain RGB camera. In practice,...
This paper presents a real-time system for hand gesture classification. The hands are detected using both the depth by the stereo camera and the skin color. The reconstructed trajectory of hands is classified into one of the gesture references.
This paper proposes a framework to track faces in color video sequences. The Adaptive Support Vector Tracker (ASVT) combines face detection with target tracking through using an adaptive filter in unconstrained videos. The adjacent locations of the target point are predicted in a search window reducing the number of image regions that are candidates for faces. Thus, the method can predict the object...
The proposed classifier is a novel skin detector that outperforms most of the existing approaches by dropping most of the non-skin pixels in its earlier stages of weak classifiers. Only the pixels with maximum skin likelihood are processed in later adaptive classifier. Parametric background modelling and validation based online training significantly improves the robustness of the whole classifier...
This paper presents a new method for accurate skin detection. Skin detection techniques are used in various image and video processing applications, such as image categorization, face detection and tracking and, more recently, in selective image enhancement for digital TV products. The proposed method achieves high accuracy using a combination of color information and pseudo-morphological processing,...
This paper presents a novel human body parts segmentation method using Laws texture energy measures with skin color in YCbCr. The proposed segmentation is used in the candidate detection phase of human body part recognition. Therefore, this work can be widely applied to face detection, person layout detection, contents filtering, and privacy protection.
This paper presents a new face detection approach which is capable of detecting human faces from complex backgrounds. A new skin color modeling process is applied to the face segmentation process. Image enhancement is then used to improve the features of face candidates before feeding to the face object classifier which is based on a modified Hausdorff distance. The overall performance of the face...
Time-of-Flight (ToF) and other IR-based cameras that register depth are becoming more and more affordable in consumer electronics. This paper aims to improve a realtime hand gesture interaction system by augmenting it with a ToF camera. First, the ToF camera and the RGB camera are calibrated, and a mapping is made from the depth data to the RGB image. Then, a novel hand detection algorithm is introduced...
Hand segmentation is often the first step in applications such as gesture recognition, hand tracking and recognition. We propose a new technique for hand segmentation of color images using adaptive skin color model. Our method captures pixel values of a person's hand and converts them into YCbCr color space. The technique will then map the CbCr color space to CbCr plane to construct a clustered region...
In this paper we present our results of fingertip detection to realize an automatic gesture recognition system by using a multi stereo camera setup. The online framework detects automatically the hands and the face of the user based on depth and color information. To estimate the spatial position and the joints of fingers a 3D hand model was generated. We used the Iterative Closest Point (ICP) algorithm...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.