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This paper proposes a new hand-image detection method in video surveillance based on skin-color and circular degree. In terms of the information of skin-color and circular degree in human hand, the detected result of our method is more accurate than the previous methods, but the method also has lower computational complexity.
In this paper, a novel method is proposed for human face detection. It contains three parts: illumination compensation, skin color model and template matching. First, we remove the color offset, high light and shadows that exist in human face images, and Gaussian model in YCrCb skin color space is chosen.Then, the facial skin region is marked and segmented using an improved segmentation algorithm...
Speedy and reliable face location is a key for monitoring driver fatigue driving condition using machine vision methods. According to the disadvantage of face location methods based on single feature in accuracy and reliability at present, first, an improved face location method based on Haar-like feature and Adaboost is used to detect the possibly existing face region in the whole image, then the...
In studying digital image, face is the most important object, and the technology of facial detection is the important issues in the field of computer vision and pattern recognition.This paper comes true a complete facial detection and location system. In this paper,firstly it uses ldquoreference whiterdquo to realize light compensation; Then it realizes the detection of candidate face using skin color...
In order to detect more reliably skin color for color facial image with complicated background, we have presented a detection method based on uniting YCgCb color space with YCgCr color spaced. There exist many colors in nature that are similar to skin color, such as sand, sand beach, soil, stone, cement road, wood, and so on. The things mentioned above are similar to skin color and create many difficulties...
An Intelligent Biometrics systems aims at localizing and detecting human faces from supplied images so that further recognition of persons and their facial expression recognition will be easy. Based on facial expression; it is easy to detect intension of person if they are involved in some terror activities or not. This paper presents an automatic, fast and efficient detection of face from an image...
Face detection is a complicated and significant problem in pattern recognition and has wide application. This paper proposes a fast face detection algorithm based on facial features and linear Support Vector Machines (LSVM). First, using of skin color information, the algorithm quickly excludes most background regions from the images primarily leaving the skin color regions. Then we use LSVM to separate...
This paper proposes an efficient skin-color and template based technique for automatic ear detection in a side face image. The technique first separates skin regions from non skin regions and then searches for the ear within skin regions. Ear detection process involves three major steps. First, skin segmentation to eliminate all non-skin pixels from the image, second ear localization to perform ear...
The task of correctly identifying and tracking people in a shadow environment for understanding the group dynamics is of paramount importance in many vision systems. This work presents a real time system for detecting and tracking people, in an environment where, people have similar attire. The proposed frame work contains shadow removal in HSV color space, detection through occlusion, person identification...
This paper presents a novel blob analysis algorithm which significantly improves skin detection effectiveness. In our research we developed an adaptive skin detector which utilizes statistical skin color model updated dynamically based on a face region. Faces are detected in luminance channel based on their geometric properties. Color-based skin detectors classify every pixel separately which results...
This paper proposes a high performance pose face recognition system. A pre-processing phase is employed to isolate the faces from the background to show the robustness of the proposed system in changing background conditions. We compared between color histogram and Discrete Cosine Transform (D.C.T) method as two feature extraction methods. The color histogram performs face recognition by matching...
Human face detection has a wide area of applications in image processing. A new face detection technique is presented in this paper. The technique combines two methods for face detection to achieve better detection rates. The two methods are skin face detection using HSV color space and the back propagation neural networks. In the first module of the technique, we proposed a fast algorithm for detecting...
Skin color is an important feature for face detection and recognition in color images. In order to obtain the possible face regions in color images, the skin color models are always constructed by statistical analysis. Owing to low accuracy of the static models, researches have discussed several dynamic models to correct input image such as illumination compensation, white balance, edge points addition,...
This paper describes a face detection system for color images in presence of varying lighting conditions as well as complex background. Based on boosting technology, our method discard majority of no-face pixel, and then use neural network detect face rapidly. Experiential results demonstrate successful face detection over wide digital photos and Webcams rapidly.
In this paper, a framework for validating any generic face detection algorithm's result is proposed. A two stage cascaded face validation filter is described that relies on a skin-color detector and on a face silhouette structure modeler towards increasing face detection capacity of any face detection algorithm. While the skin-color detector combines a static skin-color and a dynamic background-color...
Face detection and tracking, through image sequences, are primary steps in many applications such as video surveillance, human computer interface, and expression analysis. Many currently existing techniques donpsilat perform well due to pose variations, appearance changes, illumination changes, complex backgrounds, and inaccurate initialization. The last short coming, which is the difficulty to initialize...
This paper proposed a robust and real-time face tracking method using particle filter based on skin color model and facial contour. Particle filter is an excellent tracking algorithm that can resolve no-linear and no-Gaussian problems. Skin color is used as an important cue since it is robust to various face poses and face rotations. A skin color model is constructed in YCbCr color space which is...
Internet access has dramatically increased the risk of receiving objectionable information such as the pornographic images. Content based Image detection is of the paramount importance in objectionable images filtering in Internet. This paper designed a simplified system by using the HSV color space converted by the law of gravity center and combining the face detection to define and evaluate the...
In the recent few decades, automatic detection and tracking of face and facial features such as eyes and mouth, in image and video sequences has become an active research area in machine vision applications such as Human-Computer Interaction (HCI). In this paper, a new algorithm for detection of face and facial features is proposed that can localize eyes and mouth very accurately in images. In this...
Quality measurement of face localization using neural networks is presented in this communication. First, neural network was trained with Zernike moments feature parameters vectors. Coordinate vectors of pixels surrounding faces in images were used as target vectors on the supervised training procedure. Thus, trained neural network provides on its output layer a coordinate's vector (p, Theta) representing...
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