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This paper proposes a method to enhance the performance of face detection and recognition systems. This method basically consists of two main parts as detection of faces and then recognizing the detected faces. In detection step, skin color segmentation with thresholding skin color model combined with AdaBoost algorithm is used, which is fast and also more accurate in detecting the faces. Also, a...
Gesture is one of the most vivid and dramatic way of communications between human and computer. Hence, there has been a growing interest to create easy-to-use interfaces by directly utilizing the natural communication and management skills of humans. This paper presents a hand gesture interface for controlling media player using neural network. The proposed algorithm recognizes a set of four specific...
Gesture is one of the most vivid and dramatic way of communications between human and computer. Hence, there has been a growing interest to create easy-to-use interfaces by directly utilizing the natural communication and management skills of humans. This paper presents a hand gesture interface for controlling media player using neural network. The proposed algorithm recognizes a set of four specific...
Lupus is autoimmune heterogeneous disease and also a multi system disorder which predominantly affects women. There is no specific diagnostic test to predict Lupus and the diagnosis remains a clinical one, depends on a combination of clinical and laboratory features. Data mining is the use of sophisticated data analysis tools to discover previously unknown, hidden, valid patterns and relationships...
Skin detection serves as a preliminary step for number of applications like face detection, gesture recognition, internet pornographic image filtering, and surveillance system. Number of artificial neural network (ANN) based skin detection algorithms have been presented in literature which are mostly based on back propagation (BP) ANNs. This paper attempts to analyze the performance of skin classifiers...
In this paper, a novel approach for human presence detection from digital image is presented. This approach is based on combined clue from skin colour and minor motion detection. For skin colour detection, explicit thresholding of CbCr colour channels is used and for minor motion detection morphological differences of multiple consecutive images has been used. MATLAB® is used for processing. Relatively...
In order to solve the problems of detecting and tracking human face in multiple-view and under complicated background by using camera in real-time, this paper puts forward a new way that combines the multi-view face detection algorithm and face tracking algorithm to control a rotatable camera. The built-in system is able to track a human face through a camera, in which AdaBoost algorithm and Continuously...
Malignant melanoma, which is the most dangerous type of skin cancer, is commonly diagnosed in all people, regardless of age, gender, or race. In the last several years an increasing melanoma incidence and mortality rate has been observed worldwide. In this research we present a new approach to the detection and classification of border irregularity, one of the major parameter in a widely used diagnostic...
This paper reviews the earlier period and current technologies for skin cancer detections. Malignant melanoma is one of the most common and the deadliest type of skin cancer. Skin cancer is commonly known as Melanoma. Skin Cancers are of two types- Benign and Malignant Melanoma. Melanoma can be cured completely if it is detected early. Both benign and malignant melanoma resembles similar in appearance...
The method of nondestructive testing for aircraft skin composite defects using infrared thermography is very effective. But, against the problem of how to rapidly and accurately identify for the defects of specific types needs to be further study. Based on the analysis of the existed classifier for skin damages, a complex group classifier based on lie group machine learning algorithm is introduced...
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...
This paper presents an efficient video surveillance system which consists of a network camera and an algorithm for automatically detection of the human faces in the monitoring area via real time video contents analysis. The main contribution of this research consists in a software application which is able to process the images received from the camera in order to detect human faces and trigger the...
Skin detection is widely used in algorithms for face detection and gesture analysis. The primary step for skin detection is modeling the skin and non-skin pixels using accurate distributions. In this paper, the Self-Organizing Mixture Network (SOMN) is modified to improve its computation performance, stability and applicability, and a probability density estimation method based on the modified SOMN...
To resolve the problem that the face detection is slow and detection efficiency is low in complex background, this thesis adopts double color space for color modeling based on YCbCr color space and RGB color space, and on this basis we adopt Adaboost algorithm for face detection. Based on the research of Adaboost algorithm, this thesis proposes improvements on the Adaboost training process and detecting...
Many non-pornographic images containing large exposure of skin area or approximate skin-color area are prone to be detected as the pornographic images. This paper proposes a novel method based on AdaBoost algorithm for nipple detection of pornographic images. The AdaBoost algorithm has excellent performance in both detection accuracy and detection speed. The method extracts extended Haar-like features,...
This paper has proposed an improved algorithm of face detction by the combination of the respective characteristics of Adaboost algorithm and the skin color segmentation algorithm. Face candidate regions were first obtained by the means of skin color detection, which were then input as the trained Adaboost cascade classifier to get accurate and quick face location. Also, in this paper the strategy...
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...
When burn injury occurs, the most important step is to provide treatment to the injury immediately by identifying degree of the burn which can only be diagnosed by specialists. However, specialists for burn trauma are still inadequate for some local hospitals. Hence, the invention of an automatic system that is able to help evaluating the burn would be extremely beneficial to those hospitals. The...
In order to classify specific objects extracted from videos, an improved algorithm is proposed in this paper. Firstly it extracts characters of proportion of skin color, ratio of area to perimeter, ratio of height to width and the statistical features of gray level dependence matrices (GLDM) to distinguish person, vehicle, crowd and the other class. It trains three kinds of support vector data description...
In order to improve the real-time of system and realize the harmonious human-machine interaction, we use the method which combines color segment and Adaboost to detect lips. Firstly, It segment the face region with skin model. Then scan the face region by Adaboost algorithm to detect lip. Through confirm the lips window's position in the entire image, to control the intelligent wheelchair's movement...
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