The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
There is an increasing trend for finding solutions to interact with computers, and computers in turn interact with people. For an effective human-computer intelligent interaction, this must be natural, the computer interpreting the user's emotional state to adapt to its behavior, giving an appropriate response to those emotions. This paper presents a software application for emotional states recognition...
In the recent years', image processing is becoming an important field in computer science. Also, interaction between human and computer is in increasing rate. Nowadays image processing used in many application for example application like measuring the distance between systems that consist of a camera and objects around the system using Stereo vision. Some previous studies use pixel by pixel search...
Nowadays, the consumer reviews for various products are playing a very important role not only for consumers but also for the firms. A large collection of consumer reviews is now available on the internet. These reviews are very helpful to get quality information about the products. The consumer reviews are used as a feedback by the firms in their product development strategies and consumer relationship...
For the forest, the fire is an extremely serious damage. In the forest fire point positioning research, it was found that the monocular vision system combination of digital elevation model(DEM) is a better way to locate fire position. However, this method has insufficient. This paper presents an improved monocular forest fire point positioning method on the grayscale bit plane. This way can make up...
Existing approaches for egocentric activity recognition mainly rely on a single modality (e.g., detecting interacting objects) to infer the activity category. However, due to the inconsistency between camera angle and subject's visual field, important objects may be partially occluded or missing in the video frames. Moreover, where the objects are and how we interact with the objects are usually ignored...
Human Computer Interaction (HCI) has become an important focus of both computer science researches and industrial applications. And, on-screen gaze estimation is one of the hottest topics in this rapidly growing field. Eye-gaze direction estimation is a sub-research area of on-screen gaze estimation and the number of studies that focused on the estimation of on-screen gaze direction is limited. Due...
An increasingly large amount of multimodal content is posted on social media websites such as YouTube and Face book every day. In order to cope with the growth of such so much multimodal data, there is very urgent need to develop an intelligent multi-modal analysis framework that can effectively extract information from multiple modalities. In this research work, here propose a novel multimodal information...
Gloves and sensor based trackers are unwieldy, constraining and uncomfortable to use. Since there are limitations of these devices the useable command set based diligences is also limited. This research project deals with using appropriate image processing algorithms to recognize hand gestures and then performs actions depending on the gesture made. The gesture does not require any skills or prior...
This paper introduces a system based on image processing to obtain efficiently and accurately reading of the electricity digital meter. In this system the back camera of the mobile phones is used to acquire the image of the electricity meter. The system then applies a sequence of image processing functions to automatically extract and recognize the digits of the meter reading image. This image goes...
The major developments in digital imaging are provided thanks to the development of a digital image sensor. Camera arrays are one of the studies in this area. The camera array is formed by combining a many image sensors having the same characteristics. High resolution and high speed imaging systems can be obtained by using camera arrays. In this paper, a new feature extraction based image stitching...
We created two experimental situations to elicit two affective states: frustration and delight. In the first experiment, participants were asked to recall situations while expressing either frustration or delight. The second experiment tried to elicit these states naturally with a frustrating experience and a delightful video. There were two significant differences between the acted and natural occurrences...
Camera calibration is a fundamental problem in computer vision community. Already extensive research has been conducted and emerge a large number of excellent calibration algorithm, but there is few studies of automatic calibration system, the camera calibration toolbox for the moment almost use multi-use manual or semi-automatic marking the target area and extracting feature points, inefficient and...
Although automatic personality analysis has been studied extensively in recent years, it has not yet been adopted for real time applications and real life practices. To the best of our knowledge, this demonstration is a first attempt at predicting the widely used Big Five personality dimensions and a number of social dimensions from nonverbal behavioural cues in real-time. The proposed system aims...
In previous works of ours [1-3], we proposed a neural network-based face detection and facial expression analysis system, which was able to classify three expressions in frontal view face images. In the present work, we examine the possibility of classifying these expressions in side view face images. Specifically, we evaluate the extracted facial feature discrimination power of three image acquisition...
Digital Fundus images are used for the manifestation of many ocular and systemic diseases but the main problem with fundus cameras is that their captured images have a field of view limited to a maximum of 45 degrees. In order to increase the field view image stitching of the fundus images is required. This paper presents a new technique for stitching multiple fundus images of a single patient. The...
We explore the feasibility of measuring learner engagement and classifying the engagement level based on machine learning applied on data from 2D/3D camera sensors and eye trackers in a 1:1 learning setting. Our results are based on nine pilot sessions held in a local high school where we recorded features related to student engagement while consuming educational content. We label the collected data...
In construction and house renovation industry, the demands for measuring the size of a door or a window, etc. are huge. In this research, we try to use the stereopsis technique to develop a simple 3-D image measurement system. First, we use a digital camera equipped with two lenses to take the stereo images. Moreover, the images can be transmitted to a computer by Wi-Fi in real time. Next, we calculate...
Position localization is essential for visually impaired individuals to live independently. Comparing with outdoor environment in which the global positioning system (GPS) can be utilized, indoor positioning is more difficult due to the absence of the GPS signal and complex or unfamiliar building structure. In this paper, a novel landmark-based assistive system is presented for indoor positioning...
This paper presents a novel user interface with computer. We propose eye and face detection via Haar-like feature with Bilateral Total Variation based super-resolution to resize the low resolution eye image from web camera. The center of eye-pair detection is mapped to the mouse coordinates in computer screen. Left click and right click are controlled by blinking left eye and right eye, respectively...
In this paper we present a navigation system for Micro Aerial Vehicles (MAV) based on information provided by a visual odometry algorithm processing data from an RGB-D camera. The visual odometry algorithm uses an uncertainty analysis of the depth information to align newly observed features against a global sparse model of previously detected 3D features. The visual odometry provides updates at roughly...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.