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At current era human being always try to develop a system that minimizes manual human efforts by implementing automation in the existing system with the help of software and hardware platform's available. By considering above fact, we decide to implement an automated attendance system that will put attendance of student if he/she will come in front of camera. The main activities carried out during...
This paper assesses the accuracy with which a user's position can be computed using skyline information, that is, the shape of the sky observed looking upward from the user's location. Whereas this concept has been proposed in the past using wide field-of-view (i.e., fisheye) cameras, this study uses a narrower field-of-view camera that is more commonly available on mobile devices. For testing purposes,...
In this paper, we present Smartphone-based Contactless Epilepsy Detector (SmartCED): an Android monitoring application able to diagnose neonatal clonic seizures and warn about their possible occurrences in realtime. SmartCED has, however, wider applicability so that it could also be used on adult patients. The main goal is to implement a wire-free and low-cost epilepsy diagnostic system, executing...
According to the security and early warning requirement of the mooring ship motion in a large open sea terminal, a prediction method has proposed. This prediction method based on the digital image which obtained from the camera. After image processing, the probabilistic neural network and the signature algorithm are used to identify the ship type, and then the corresponding historical data of this...
Due to recent advances in new camera technologies and the Internet, millions of videos can be easily accessed from any place at any time. A significant amount of these videos are for surveillance, and include actors such as humans and vehicles performing different actions in dynamic scenes. The goal of this study is to analyze human crowd motions in videos. More specifically, moving humans are tracked...
This paper introduces, and verifies the applicability of, a practical algorithm for creating 3D points clouds resembling objects, based on multiple RGB-D frames having been taken from different viewpoints, by the Kinect 2 camera. The experimental set-up is described, along with a certain variant of the process referred to as iterative closest point, being utilized for the latter purpose. Moreover,...
The advent of inexpensive RGB-D sensors pioneered by the original Kinect sensor, has paved the way for a lot of innovations in computer and robot vision applications. In this article, we propose a system which uses the new Kinect 2 sensor in a medical application for the purpose of detection and 3D reconstruction of chronic wounds. Wound detection is based on a per block classification of wound tissue...
Recently, many people have begun to take pictures of meals and food either at home or in restaurants. These pictures are then uploaded to social networking services (SNS) where they are shared with friends. People want to take pictures of food that looks delicious, but they often find this difficult. This is because most people lack the knowledge required to take attractive pictures. There are many...
Meetings are an important communication and coordination activity of teams: status is discussed, new decisions are made, alternatives are considered, details are explained, information is presented, and new ideas are generated. As such, meetings contain a large amount of rich project information that is often not formally documented. Capturing all of this informal meeting information has been a topic...
Background: According to several recent research results [1]-[4], obesity can increase the risk of many diseases such as diabetes, chronic kidney disease, metabolic disease, cardiovascular disease, etc. To prevent and treat the obesity efficiently and effectively, diet monitoring is an important factor. Purpose: Manual self-monitoring techniques for diet suffer from drawbacks such as low adherence,...
This paper describes a novel biometric scenario, where a person is authenticated at an ATM, and has to be re-identified from a camera within a very short time period, under very challenging illumination and pose conditions, and using data from a single session. The application scenario is the automatic retraction of forgotten card or cash at an ATM, which happens frequently, and causes inconvenience...
Identifying the source camera which acquired a given image using the cameras PRNU is a well established task in image forensics, known as camera or device identification. Since digital image sensors are widely used to acquire biometric data, it is eligible that this task can also be performed with biometric sensors and the respective data. This has already been studied in literature. In this paper...
In this paper, we propose a Palm print biometric recognition system based on scattering wavelet transform. First a novel approach for extracting Region of Interest (ROI) from palm image is presented. Then, a Scattering Wavelet Transform (SWT) is used to extract discriminative features from the input images that are useful to enhance correct matching. Then, a simple Euclidean distance based matching...
This paper proffers an application in order to expedite easy and innate way to find the medicine for the visually impaired people and to take it according to their Doctor's prescription. Visually impaired people need not be dependent and seek others help to find the medicine to be taken. This android application is used to overcome the difficulties they face in this scenario. In this application,...
We present a novel and scalable approach for retrieval and flexible alignment of 3d human motion examples given a video query. Our method efficiently searches a large set of motion capture (mocap) files accounting for speed variations in motion. To align a short video clip with a part of a longer mocap sequence, we experiment with different feature representations comparable across the two modalities...
Human action recognition is one of the most important issues in computer vision. In this paper, the main idea is to design a general approach to recognize the human behavior. This approach is based on a pre-collected action database, which extracted by the depth images and forms the sequences of skeletons, and trained by the proposed Action Forests (AF) model. AF extends the random forest algorithm...
This paper provides a comprehensive survey on the recent techniques of human activity recognition. The goal of the activity recognition is to automatically analyze the ongoing events. The applications of activity recognition are manifold, ranging from visual surveillance to control and video retrieval. The task is challenging due to variations in recording settings of people, environment and scene...
Drowsiness is a major cause of accidents, in particular in road transportation. It is thus crucial to develop robust drowsiness monitoring systems. There is a widespread agreement that the best way to monitor drowsiness is by closely monitoring symptoms of drowsiness that are directly linked to the physiology of an operator such as a driver. The best systems are completely transparent to the operator...
The rise of wearable devices has led to many new ways of re-identifying an individual. Unlike static cameras, where the views are often restricted or zoomed out and occlusions are common scenarios, first-person-views (FPVs) or ego-centric views see people closely and mostly get un-occluded face images. In this paper, we propose a face re-identification framework designed for a network of multiple...
This paper delivers a new database of iris images collected in visible light using a mobile phone's camera and presents results of experiments involving existing commercial and open-source iris recognition methods, namely: Iri-Core, VeriEye, MIRLIN and OSIRIS. Several important observations are made. First, we manage to show that after simple preprocessing, such images offer good visibility of iris...
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