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Face detection and tracking algorithms are used in computer vision applications due to the fact that they provide reliable and fast results. This paper describes a model for face tracking in video sequences using Open Source Computer Vision (OpenCV) software library. To increase the face tracking accuracy, we propose a real time face tracking algorithm based on integration of Continuously Adaptive...
Melanoma is skin cancer that attacks a pigment human cell who raise melanin cell and causing death if unknown early. According to from Abramson Cancer Center, There are 76.690 new cases melanoma in the United States on 2013. Dermoscopy is one of a current use, but need a special expertise to detect a cancer melanoma. This research proposes a new approach to detecting melanoma using ABCD rule which...
In image processing area and segmentation algorithms based on thresholding, the intensity of the image (grayscale) is usually obtained in order to differentiate the regions of the objects and the background. The segmentation based on the threshold works well when the image has a high intensity in the contrast, this characteristic is key to make a good classification of the pixels. This document will...
in today's scenarios world is struggling to develop new technologies for handicap people, so that they can also compete in the modern world. The Main existing solutions are prosthetic devices, voice recognition programs, screen readers, and hand gestures recognition, but developing new technologies faces various problems like time, cost and portability. This paper proposes a new perspective by enhancing...
Face detection from a digital image or video stream is used often for various purposes. But sometimes a system detects an object or area as a face where there is no face at all. This paper presents a technique to reduce such wrong detection rate introducing human skin color (HSC) characteristic. The general property of human skin in RGB color space is that it possess R>G>B (i.e., red values...
Crop productivity in agriculture is in great demand. To increase or to achieve better production, detection of worms at an early stage and better irrigation is to be done. In earlier days irrigation process is done by sensors by monitoring the soil moisture in the field. It seems to be inaccurate, and varies for different areas such as top layer and inner layer of the soil. In order to avoid this...
Web-based laboratories are promising to save the cost required to setup a hands-on laboratory in schools. There are several basic experiments in physics which help the students understand the basics of classical physics. However, the rising cost of laboratory infrastructure and costly equipment to conduct these experiments make it difficult for schools, in developing countries like India to build...
The power automation system, which can control almost everything that is powered by electricity in hospitals using live gesture recognition. In this proposed model the system uses a camera feed to detect the motion of hand, or any object. This movement of the object matched with the stored gestures to find the closest match and perform the corresponding actions associated with the gesture. This is...
This work presents a novel approach for an object recognition and tracking system, here known as SRCCA (Software de Reconhecimento de Cor e Contorno Ativo or Active Contour and Color Recognizing Software) by using color recognition in the HSV color space and active contour models (ACM). The main innovations proposed makes use of the association of distinct techniques employed for object tracking and...
Beef quality is determined by a number of parameters; some of which include size, texture, color feature, or meat smell. Recently, determining the meat quality is done by seeing the color and shape. However this method still has some weaknesses due to, for example, the subjectivity and inconsistency in human assessment. The aim of this research is to make an application to detect the meat quality...
In computer vision application object tracking is a challenging problem. Illumination and occlusion are major constraints observed in object tracking. We are focusing on object tracking with partial or full occlusion. Object tracking is done using features like colors and contours. We have proposed a robust Color-based algorithm to track the object and handle occlusion in real time domain. In our...
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...
Now-a-days as there is prohibitive demand for agricultural industry, effective growth and improved yield of fruit is necessary and important. For this purpose farmers need manual monitoring of fruits from harvest till its progress period. But manual monitoring will not give satisfactory result all the times and they always need satisfactory advice from expert. So it requires proposing an efficient...
Currently, there are several codes to refer to things. For example, barcode and QR code. Barcode is commonly implemented for supporting retail industries, for example to identify books and products. Meanwhile, QR code is generally implemented to code URL and other internet-related things. The purpose of this paper is to provide an innovative and a new way to differentiate things, which is called color...
Facial recognition is one of the most studied topics in the field of biometrics because of its varied applications. Detection of dark colored faces and poorly illuminated faces are not well studied in the literature due to several challenges. The most critical challenge is that there is inadequate contrast among facial features. To overcome this challenge, a new face detection methodology, which consists...
The aim of the project is to detect and recognize traffic signs in video sequences recorded by an onboard vehicle camera. Traffic Sign Recognition (TSR) is used to regulate traffic signs, warn a driver, and command or prohibit certain actions. A fast real-time and robust automatic traffic sign detection and recognition can support and disburden the driver and significantly increase driving safety...
The main idea of this paper is to present a general description of the project “path planning applied to a mobile robot GBot”, which includes items such as the approach taken, the implemented techniques in areas like digital image processing and path planning in mobile robots. Furthermore, there is a section that presents the performance and a small analysis of the implemented system. The problem...
Computer vision is a field that includes methods for acquiring, processing, analyzing and understanding images. In the embedded world, computer vision applications have to fight with limited processing power and limited resources to achieve optimized algorithms and high performance. This paper presents work on implementing a human tracking system on both Intel based PC platform and embedded systems...
The use of the Metaverses as a platform for human interaction is a trend that exists worldwide in the current web environment where participation and collaboration are the basis for generation of collective knowledge. This article is a review of the research that has been developed at the University of Panama for the use of Metaverse (virtual worlds) based on free software as virtual learning environments...
Color blindness is an anomaly which happened in retinal of eye(s) which prevent the patient to recognize or differentiate certain colors. The disability of the patient to recognize color is potential to cause problems to the patient in daily life. Color blind cannot be cured. Therefore, the only method to help color blind people to recognize or differentiate color is with a vision aid kit. In this...
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