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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...
Plants are one of the most fundamental and important species on earth. Forest eco-system has been an important source of various economically and socially significant plant species which are very difficult to be properly detected and identified. An automated image based species identification technique will be highly helpful, since it is a tedious job to collect and identify the samples manually in...
Tires bear the grip and friction force between a vehicle and the ground. Worn tires will result in slippage, a longer braking distance, and even flat tires, which could eventually result in a driving accident. Therefore, governments, including Taiwan, have formulated standards stipulating the appropriate tire pressure and depth of tire treads. The tire tread depth used to be determined using manual...
Recently, with the development of graphics devices and the widely use of 3D geometrical sensors, the quantity of multimedia data including 3D model data has become increasing. Therefore, the technological needs for searching those data to create multimedia contents are expanding. In this paper, the authors propose a 3D model data retrieval system using KAZE image feature that accepts 2D images as...
Depth estimation, which is mostly performed by stereo vision, is a remarkable task in vision and scene understanding. In this paper, depth map estimation from a single image is investigated and applied in pedestrian candidate generation. To recover accurate depth map from a single image, a Markov Random Field (MRF) model that incorporates both image depth cues and the relationships between different...
Biometric data collection is an important first step toward biometrics research practice, although it is a considerably laborious task, particularly for behavioral biometrics such as gait. We therefore propose an automatic gait data collection system in conjunction with an experience-based exhibition. In the exhibition, participants enjoy an attractive online demonstration of state-of-the-art video-based...
Traditional methods of access control such as password token or identification card are being replaced by biometrics recognition technology in many fields because of their limitation in reliability and usability. Vein pattern identification is outstanding compared to other biometrics methods such as fingerprint or iris due to its dependability and ease of use. At the same time, current biometrics...
Face spoofing detection (i.e. face anti-spoofing) is emerging as a new research area and has already attracted a good number of works during the past five years. This paper addresses for the first time the key problem of the variation in the input image quality and resolution in face anti-spoofing. In contrast to most existing works aiming at extracting multiscale descriptors from the original face...
Recent studies point out that spoofing attacks using facial masks still are a severe problem for current biometric face recognition (FR) systems. As such systems are becoming more frequently used, for example, for automated border crossing or access control to critical infrastructure, advanced anti-spoofing techniques are necessary to counter these attacks. This work presents a novel, cross-modal...
Visual Quality Assessment of 3D/stereoscopic video (3D VQA) is significant for both quality monitoring and optimization of the existing 3D video services. In this paper, we build a 3D video database based on the latest 3D-HEVC video coding standard, to investigate the relationship among video quality, depth quality, and overall quality of experience (QoE) of 3D/stereoscopic video. We also analyze...
Most of existing visual quality assessment algorithms are tested on standard databases that are created in controlled viewing conditions (e.g. display device, viewing distance and lighting). This implies that all the recoded subjective scores are only valid for the specific settings used in the database. However, with the prevalence of mobile devices, the practical viewing environments can significantly...
Over the course of the last few decades, security systems have undergone radical overhauls and have transitioned into such sophisticated devices that some even completely shun any form of human interventions. In spite of its tremendous innovations, however, such setups have not yet made their way into homes and residences, partly owing to the fact that the equipment bear high price tags and lack user...
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