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An effective and fast face recognition method that is capable of dealing with faces under variable pose and illumination conditions has been proposed in this paper. First, the face is detected and the eyes are located automatically by the two cameras, eyes located in the two cameras are matched and the pose angle of the face is calculated. Then, the frontal face is generated according to the pose...
We show the first camera based (privacy-preserving) indoor mobile positioning system, CaPSuLe, which does not involve any communication (or data transfer) with any other device or the cloud. The algorithm only needs 78.9MB of memory and can localize a mobile device with 92.11% accuracy. Furthermore this is done in 1.92 seconds of on-device computation consuming 3.77 Joules of energy, as evaluated...
In this paper, we develop a quadrotor UAV based target tracking and recognition system, which includes an intelligent gimbal sub-system for accurate camera positioning and fast image processing. A set of robust consensus-based algorithms are developed for objects tracking, in addition to moving background processing techniques. A neural network learning based database is used to improve target recognition...
This paper describes an algorithm for localization of a robot which can efficiently estimate robot in 6 degrees-of-freedom (DoF) pose which consist of position and orientation with large scale point cloud data without giving the initial pose. We introduce the Fast Scene Recognition and Alignment algorithm to reduce the computation time needed for the point cloud alignment by matching robot's scene...
Localizing the user from a feature database of a scene is a basic and necessary step for presentation of localized augmented reality (AR) content. Commonly such database depicts a single appearance of the scene, due to time and effort required to prepare it. To account for appearance changes under different lighting we propose to generate the feature database from a simulated appearance of the scene...
We have developed a privacy-aware user tracking system that can track users by using their footprint data measured across spatially disjoint pressure sensor sheets. The main task in the system is to recognize correspondence between footprints measured across pressure sensor sheets, i.e., it needs to recognize a single user walking across pressure sensor sheets as an instance and different users as...
Person reidentification is a problem of recognizing a person across non-overlapping camera views. Pose variations, illumination conditions, low resolution images, and occlusion are the main challenges encountered in reidentification. Due to the uncontrolled environment in which the videos are captured, people could appear in different poses and due to which the appearance of a person could vary significantly...
Subjective test methodologies are morphing to enable researchers to answer questions relevant to rapidly evolving technologies in an efficient and reliable manner. This paper is an exploration of how subjective testing that employs crowdsourcing can be refined to drive stability and reliability in subjective results. We investigate how various design decisions can lead to disparate subjective responses;...
Ocular recognition on smartphone authentication applications are gaining popularity in academic research and in the commercial sector where operators are requesting reliable and robust biometric authentication. The wide acceptance of such ocular based authentication systems also depends on the verification performance on large scale testing with different data subject ethnic groups and platforms....
We address the problem of single-image geo-calibration, in which an estimate of the geographic location, viewing direction and field of view is sought for the camera that captured an image. The dominant approach to this problem is to match features of the query image, using color and texture, against a reference database of nearby ground imagery. However, this fails when such imagery is not available...
Face identification from low quality and low resolution Near-Infrared (NIR) face images is a challenging problem. Since surveillance cameras typically acquire images at a large standoff distance, the effective resolution of the face is not large enough to identify the individuals. Moreover for a 24-hour surveillance footage, images in low light and at nighttime are acquired in NIR mode which makes...
Omnidirectional cameras are commonly used in computer vision and robotics. Their main advantage is their wide field of view which allows them to acquire a 360 degree view of the scene with only one sensor and a single shot. However, few studies have investigated the human detection problem using this kind of cameras. In this paper, we propose to extend the conventional approach for human detection...
Two sequential camera fingerprint detection methods are proposed. Sequential tests implement a log-likelihood ratio test in an incremental way, thus enabling a reliable decision with a minimal number of observations. One of our methods adapts Goljan et al.'s to sequential operation. The second, which offers better performance in terms of average number of test observations, is based on treating the...
Objects in fine-grained categories always share a high degree of shape similarity, making both “localizing discriminative parts” and “learning appearance descriptors” extremely difficult. We propose a framework to leverage 2D+3D cues to handle above two challenges. Towards the goal of image alignment to localize discriminative parts, traditional methods rely on either manual part annotation or image...
Prevention of serious diabetic foot complication like ulceration or infection is an important issue. As the development of thermal graphic technologies, foot temperature-guided avoidance therapy has been recommended. Doctors from Hospital National Dos de Mayo are studying on the risk of the diabetic foot passing from Grade 0 to Grade 1 in the Wagner Scale. This risk to develop ulcers is related to...
In this paper we introduce DIORAMA based forensic analysis of mass casualty incidents (MCI) using video sequences. The video sequences captured on site are automatically annotated by metadata, which includes the capture time and the camera location and viewing direction. Using a visual interface the MCI investigators can easily understand the availability of video clips in specific areas of interest,...
The aim of this paper is to analyse the variation of the gesture recognition accuracy of several classifiers, based on input provided by two different sensors: Kinect for XBox 360 (Kinect 1) and its improved, newer version, Kinect for XBox One (Kinect 2). The accurate and meaningful recognition of body postures and gestures is a problem that depends on multiple factors, including the machine learning...
Biometric access control systems find wide usage area nowadays and sensors cost pretty high. Wrist vein patterns are completely unique and visible through the skin therefore they are considerable as new biometric characteristics which can be used without specific sensors. In this study, wrist vein images were captured from 14 female and 20 male volunteers using an ordinary 5 MP mobile phone camera...
In this work, our objective is to study the impact of statistical hypothesis tests for the purpose of improving heterogeneous face recognition (FR). A series of tests are conducted to find the most suitable type of statistical analysis test (parametric vs. non-parametric). To conduct the experiments, we used a multi-spectral face database (visible and Near-IR) collected under challenging conditions,...
Dietary assessment is a comprehensive evaluation of a person's food intake. It is very important to people in modern life, especially to the elders. In general, food intake measurement is performed by using a scale. However, it is inconvenient since the food is measured one-by-one before and after eating. In order to increase the convenience of food intake measurement, a short-range depth camera is...
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