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Biometric system is widely used to recognize the authorized person based on either behavioral characteristics or physical. But this can be spoofed using various traits. Spoofing attack is nothing but attacking or harming biometric recognition system using security features to use system without permission of authorized user. These biometric systems can be easily attacked by spoofs like peoples face...
For many people who has disability in communication, giving some information to other people is a hard thing to do. To make the communication easier, some people who is not able to speak or has disability in motoric function espescially hand, need a system that can help them to communicate. Based on that condition, in this research a system that can help them to communicate was built. This system...
The landscape of personnel recruitment has been changed with the emerging trend of online approaches whereas the past custom was accompanied with face to face interview approach with time consuming process flows in recruitment decision making. Online interviews can be used as an initial study to the formation of first impressions for initial screening and shortlisting purposes. Therefore, in this...
In this paper, we propose a novel, full-body, real-time 3D reconstruction framework that makes use of pre-scanned body parts (more precisely pre-scanned 3D heads) so as to provide a more detailed 3D reconstruction mainly in the semantically important head area. Our framework deals with 3 major challenges: a) multiple depth sensors collaboration, b) pre-scanned head positioning and c) reconstruction...
Simulated mirror display systems (SMDs) provide augmented rendering of mirror images. Many SMDs use multiple static cameras to create viewpoint-dependent rendering. Unfortunately, the quality of the rendering around the face of the viewer is typically poor due to visual distortion from warping and camera view misalignment. We propose the RoboMirror SMD to provide high-quality mirror rendering of the...
In this paper, we present a system to capture and animate a highly realistic avatar model of a user in real-time. The animated human model consists of a rigged 3D mesh and a texture map. The system is based on KinectV2 input which captures the skeleton of the current pose of the subject in order to animate the human shape model. An additional high-resolution RGB camera is used to capture the face...
Thanks to the low operational cost and large storage capacity of smartphones and wearable devices, people are recording many hours of daily activities, sport actions and home videos. These videos, also known as egocentric videos, are generally long-running streams with unedited content, which make them boring and visually unpalatable, bringing up the challenge to make egocentric videos more appealing...
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...
How to avoid the invading of the attack in the biometric system, such as 2D printed photos, gradually becomes an important research hotspot. In this paper, we present a novel descriptor in light field to tackle the issue. Based on the angular and spatial information in light field, the proposed light field histogram of gradient (LFHoG) descriptor is derived from three directions, including vertical,...
Super-resolution (SR) offers an effective approach to boost quality and details of low-resolution (LR) images to obtain high-resolution (HR) images. Despite the theoretical and technical advances in the past decades, it still lacks plausible methodology to evaluate and compare different SR algorithms. The main cause to this problem lies in the missing ground truth data for SR. Unlike in many other...
This paper presents a new algorithm for 3D face tracking intended for clinical infant pain monitoring under challenging conditions. The algorithm uses a cylinder head model and head pose recovery by alignment of dynamically extracted templates based on dense-HOG features. The algorithm is motivated from the application context and compared with a variant based on intensities. The paper reports experimental...
A lot of traffic accidents are caused by driver distraction, while most existing driver attention assistance solutions need specialized hardware, which limit their wide accessibility. We present a convenient driver attention detecting system based on smartphones with dual cameras. Firstly, a feature detector describing pupil location, yaw and pitch angle of eyes, position and size of face detected...
This paper presents the fusion techniques for detecting and tracking the face. The proposed method combines the Viola-Jones method, the CamShift tracking, and the Kalman Filter tracking. The objective is to increase the face detection rate, while reduce the computation cost. The proposed method is implemented on a low cost embedded system based-on the Raspberry Pi module. The experimental results...
Interactive learning in class or off-class is crucial to teaching and learning. In this paper, we propose an intelligent learning system for supporting student interactive learning through engagement study, which is based on three modules, i.e., attendance management, teacher-student (T&S) communication, visual focus of attention(VFOA) recognition. Attendance management matches the student's identity...
Safety and security rank highly in the priorities of older people on both an individual and policy level. Older people are commonly targeted as victims of doorstep crime, as they can be perceived as being vulnerable. As a result, this can have a major effect on the victim's health and wellbeing. There have been numerous prevention strategies implemented in an attempt to combat and reduce the number...
In this paper we present a proof of concept for non-contact extraction of vital signs using RGB and thermal images obtained from a smart phone. Using our method, heart rate, respiratory rate and forehead temperature can be measured concurrently. Face detection and tracking is leveraged in order to allow natural motion of patients. Heart rate is estimated via processing of visible band RGB video using...
In this study, an easy system for monitoring dynamic blood perfusion patterns and the pulse wave velocity (PWV) has been developed by processing video images of a human body to assess blood circulation for daily management of physical conditions or for detecting persons in poor physical condition in public places. The experiment suggested that this tool can be used to easily evaluate the PWV; however,...
Human-robot collaboration will increasingly take place in human social settings, including contexts where ethical and honest behavior is paramount. How might these robots affect human honesty? In this paper, we present first evidence of how a robot's presence affects people's ethical behavior in a controlled field study. We observed people passing by a food plate marked as “reserved”, comparing three...
Airborne cameras on low-flying unmanned vehicles introduce new privacy challenges due to their mobility and viewing angles. In this paper, we focus on face recognition from airborne cameras and explore the design space to determine when a face in an airborne image is inherently protected, that is when an individual is not recognizable. Moreover, when individuals are recognizable by facial recognition...
Head detection may be more demanding than face recognition and pedestrian detection in the scenarios where a face turns away or body parts are occluded in the view of a sensor, but locating people is needed. In this paper, we introduce an efficient head detection approach for single depth images at low computational expense. First, a novel head descriptor is developed and used to classify pixels as...
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