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.
In computer vision, gradient-based tracking is usually performed from monochromatic inputs. However, few researches consider the influence of the chosen colorto- grayscale conversion technique. This paper evaluates the impact of these conversion algorithms on tracking and homography calculation results, both being fundamental steps of augmented reality applications. Eighteen color-togreyscale algorithms...
Photoplethysmography (PPG) has been widely used in clinical applications for monitoring vital signs especially heart rate by pulse oximeter. Recent researches have demonstrated the possibility of using fingertip video based PPG approach to estimate heart rate by smartphones. However, due to the variation of camera sensor characteristics in difference smartphones, the conventional fixed region-of-interest...
When installing outdoor surveillance camera systems, a suitable choice and setting of outdoor lighting are important to ensure the right functioning of a camera and a legible and sharp picture. Camera sensitivity is another important factor. It determines the minimal light conditions which are necessary for a camera chip to able to capture video. It is measured in the unit lux [lx]. Standard values...
This study investigates tracking a table-tennis ball rapidly from video captured using low-cost equipment for umpiring purposes. A number of highly efficient algorithms have been developed for this purpose. The proposed system was tested using sequences capture from real match scenes. The preliminary results of experiments show that accurate and rapid tracking can be achieved even under challenging...
This paper presents an efficient hardware architecture to perform the real-time correction of the barrel distortion in wide-angle cameras. Applied to the single-sensor cameras employing the Bayer pattern as the color filter array (CFA), the proposed architecture performs the backward mapping process once for each pixel location in the Bayer pattern and the sub-pixel image resampling process for each...
This paper proposes a novel content removal technique for enhancing the camera identification performance. Here, very low bit rate videos with the overall noise patterns having time varying statistics are considered. First, different two dimensional discrete fractional Fourier transforms with different rotational angles are applied to the overall noise pattern of each frame of each video. Second,...
3D-reconstructions produced by active 3D-scanning systems based on structured light can achieve high accuracy reconstructions of the scene surfaces. Structured light algorithms based on phase measuring triangulation (PMT) utilize phase-shifted sinusoidal patterns projected into the scene for a precise determination of correspondencies. The number of patterns used for that purpose may vary depending...
This paper proposes a new vehicle color classification scheme to identify vehicles with their colors. To detect vehicles from roads, the paper proposes a novel symmetrical descriptor to determine the ROI of each vehicle without using any motion features. This scheme provides two advantages; there is no need of background subtraction and it is extremely efficient for real-time applications. After detection,...
This paper presents a depth map restoration scheme for both the raw and projected depth map from Kinect v2 sensor. Based on IR-depth consistency, erroneous depth readings around foreground objects are removed by an edge aware consistency correction method. Moreover, a joint adaptive kernel regression algorithm is designed to upsample the sparse depth map after the projection from Kinect v2 sensor's...
In the field of human following using mobile robot, human as the object for the detection is not the only requirement to be considered. Besides detection, continuous tracking and recognition is also another important criteria. In order to track and recognize a human, an effective algorithm needed to be implemented in the system. Speed Up Robust Feature (SURF) algorithm is a fast and robust algorithm...
In the field of human-robot interaction, collaborative and/or adversarial game play can be used as a testbed to evaluate theories and hypotheses in areas such as resolving problems with another agent's work and turn-taking etiquette. It is often the case that such interactions are encumbered by constraints made to allow the robot to function. This may affect interactions by impeding a participant's...
We present a method for acquiring the per-pixel diffuse albedo, specular albedo, and surface normal maps of a subject at a single instant in time. The method is single-shot, requiring no optical flow, and per-pixel, making no assumptions regarding albedo statistics or surface connectivity. We photograph the subject inside a spherical illumination device emitting a static lighting pattern of vertically...
Human tracking across multiple cameras is highly demanded for large scale video surveillance. To successfully track human across multiple uncalibrated cameras that have no overlapping field of views, a system to train more reliable camera link models is proposed in this paper. We employ a novel approach of combining multiple camera links and building bidirectional transition time distribution in the...
In this paper, we propose an innovative human tracking algorithm, which efficiently integrates the deformable part model (DPM) into the multiple-kernel based tracking using a moving camera. By representing each part model of a DPM detected human as a kernel, the proposed algorithm iteratively mean-shift the kernels (i.e., part models) based on color appearance and histogram of gradient (HOG) features...
We propose a new method to fill missing or invalid values in depth images generated from the Kinect depth sensor. To fill the missing depth values, we use a robust least median of squares (LMedS) approach. We apply our method for telepresence environments, where Kinects are used very often for reconstructing the captured scene in 3D. We introduce a modified 1D LMedS approach for efficient traversal...
It is estimated that 3.2 million people have developed atrial fibrillation (AF) in the United States and 30% of AF patients are unaware of their diagnosis (silent AF). We tested a new technology for contactless detection of AF based on facial video recordings in patients undergoing electrical cardioversion for AF. The proposed technique uses the facial video signal to extract the beat-to-beat variations...
Augmented and Virtual Reality has become a highly researched subfield in the Computer Vision domain. Among various researched topics, object detection and tracking is a major field of interest, with various algorithms being developed for it. Various algorithms exist that employs different approaches to solving the problem of object detection. The approach that we take is a mixture of investigating...
This paper presents a new weighted interpolation technique to address the Bayer Color Filter Array (CFA) demo-saicking problem. The proposed technique provides two contributions that have not been reported in conventional interpolation methods. Firstly, it exploits the quincuncial nature of the green component of the Bayer CFA. The second contribution treats each of the three planes or lattices of...
One of the major problems faced by consumers while shopping at a supermarket is the inability to locate items and also to carry goods to the billing counter. In this paper, we describe a novel cost-effective method to overcome these issues by creating a smart trolley using a web camera along with video processing to complete the tasks. In comparison with previous methods which utilize RFID transceivers,...
Multiple flat-panel displays may often seem different in color, even though they are of the same brand and model. As a result, users experience visual fatigue as well as degraded quality while watching displayed contents. In this paper, we propose a method of calibrating multiple displays simultaneously with the use of ordinary cameras, such as a smartphone camera. In the proposed method, brightness...
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.