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Here a camera is placed in a public place. The video that obtained from the camera is taken as the input. From the video the face of human is extracted and discards other faces. From recent crime investigations it is know that rather than arising of new criminals, the crimes are being conducted by already registered criminals during their parole or coming out from jail after their sentence. In this...
Adaboost is a kind of traversal image searching method, which wastes testing time seriously and should be improved. Skin color detection is used to optimize front-end detection that is relatively stable and has fast speed. In skin color detection, UCS space is used to segment image quickly. Then Adaboost algorithm is used to detect human face based on segmented skin color area. The experiment results...
Face recognition systems in a video sequence constitute an essential technical tool in several domains. To classify the faces in minimal time, the classic methods of classification being inadequate, fuzzy logic is considered as an effective technique for solving a classification problem. This article proposes a fuzzy approach for detection and face recognition in video sequences using a multi-agent...
Beauty industry has become one of the largest growth industries. The most famous service for beauty clinic is acne treatment. The first process of acne treatment is acne counting and classification which is manually done by dermatologist. In this paper, an automatic acne detection system was proposed and developed as an acne detection device. The system acquired facial image of the patient via web...
Face detection and tracking have wide applications, for example, law enforcement, gaming, image search, marketing, etc. The detection and tracking tasks are quite challenging. Tracking the face in an image includes gender identification and segmenting the face using the skin color. In the past, many methods have been proposed to identify a face in videos, such as feature-based detection, skin color...
Many features of human faces play important roles in designing a method that can perform face recognition. There are many current studies in the area of face recognition, but most of them have limitations. The Principal Component Analysis (PCA) is one of the best facial recognition algorithms. However, there are some noises that could affect the accuracy of this algorithm. The PCA works well with...
Facial image recognition technology has seen many developments in the recent past. In this paper, we have proposed one such intelligent system to recognize human facial expressions automatically. The system has been segmented into three phases. The first phase involves preprocessing and face detection. The second phase consists of feature points extraction i.e. for different facial components like...
The estimation of the number of people in surveillance areas is essential for monitoring crowded scenes. When density of a zone increases to a certain approximated level, people's safety can be endangered. Detection of human is a prerequisite for density estimation, tracking, activity recognition and anomaly detection even in non congested areas. This paper presents a robust hybrid approach for face...
Face Detection plays an important role in different applications such as Human Computer Interfaces, Security Systems, Face Recognition, Content Based Image Retrieval, etc. Detecting overlapping faces is one of the challenges in face detection applications. A classical algorithm to identify overlapped faces is presented in this paper. Initially, the skin area is segmented from the input image and the...
In this paper, we propose a skin classification method exploiting faces and bodies automatically detected in the image, to adaptively initialize individual ad hoc skin classifiers. Each classifier is initialized by a face and body couple or by a single face, if no reliable body is detected. Thus, the proposed method builds an ad hoc skin classifier for each person in the image, resulting in a classifier...
Face detection is a computer technology that has been used in various applications such as biometric authentication, surveillance, computer interaction and social media. It is the process of detecting faces in an image or video stream and is an important step that precedes face recognition. Many researchers in recent years are implementing real time and accurate face detection system on FPGA due to...
Human face detection is very useful in many applications such as communications, automatic access control systems, video browsing, security control, verification of credit cards, identifying criminals and so on. This work provides a simple and efficient technique to detect human faces in still images. The new method based on skin color, contour drawing and feature extraction. The features under consideration...
Tagging face is the most prevalent topic in today's world. This paper personifies a text based approach called name tag which uses skin color segmentation for face detection. For extraction of skin region we have used RGB, HSV, Cb, Cr color models with different ranges of thresholding. Each skin region is converted into binary image. Then morphological operation and region properties are applied to...
In this paper a method is presented for automatic detection and recognition of human faces for surveillance purpose. The proposed method first detects skin regions in the image using a skin color model using YCbCr and HSV color space. Then apply height to width ratio followed by face region identification. Lastly PCA verification algorithm is used to detect face accurately. Train face images are used...
In this paper, a new face detection approach based on skin color segmentation is presented. First, the color image is converted into YCgCrcolor space from RGB, because the performance of clustering is excellent in YCgCr color space. We get the segmented image by using the algorithm of support vector machine in YCgCr color space. Finally, we offer a face verification algorithm according to the geometric...
This research consists of a classification system to determine the adult and benign image. Adult image in this research was defined as image that is perceived as pornographic by Indonesian people. The method in this research combines face detection and HS skin color detection on an image. Face detection is done by using the Viola-Jones method. After face detection process, skin detection is performed...
In this paper we present a new algorithm for pupil center localization. The face and eyes of the target subject are detected using the Cascade Classifier algorithm based on Haar-like features. A histogram equalization method is employed to increase image contrast. The core feature of our pupil center detection consists of an adaptive template matching procedure applied on the eye region image that...
In this paper, we propose an automatic photograph generating method for albums of large numbers of people, which gives consistency to facial skin color and background colors. In our framework, we assume photography in a simple photographic environment where some amateur cameramen take photographs indoors. In such a case, facial skin color is often distorted due to the lighting environment (e.g., light...
Skin detection is a key aspect of many computer vision applications including face detection, person identification, illicit content detection and other related applications. In this paper, a skin detection method is proposed combining two color spaces HSV (Hue, Saturation, Value) and YCgCr (luminance, chrominance in green, chrominance in red). The S, Cg and Cr components are used to form a hybrid...
To solve the problems of lean, occlusion, and unbalance exposure, a new strategy of facial expression recognition based on template matching is proposed in the paper. The strategy firstly obtains the characteristics of half-facial expressions by using Gabor wavelet, and then calculates the picture's Euclidean distance with the standard library; at last, classify expressions by using the method of...
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