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In this work an online method for camera-based heart rate detection, also known as Photoplethysmography Imaging (PPGI), is presented. The pulse related signal is obtained from RGB videos of the human face, using an off the shelf camera under ambient light conditions. The algorithm for heart rate estimation is based on the beat-to-beat analysis of the PPGI signal, allowing the estimation of psychophysiological...
In this demonstration, we showcase a system for rapid acquisition of bespoke avatars for each participant (subject) in a social VR environment is presented. For each subject, the system automatically customizes a parametric avatar model to match the captured subject by adjusting its overall height, body and face shape parameters and generating a custom face texture.
We present a system for rapid acquisition of bespoke, animatable, full-body avatars including face texture and shape. A blendshape rig with a skeleton is used as a template for customization. Identity blendshapes are used to customize the body and face shape at the fitting stage, while animation blendshapes allow the face to be animated. The subject assumes a T-pose and a single snapshot is captured...
This paper is about autonomous ball launcher system on Autonomous Surface Vehicle. The work was done for ‘Detect and Deliver’ task which is a part of 2016 Maritime RobotX Challenge. In this task, ASV should propel or insert racquet balls through the target holes on the face which has assigned shape. To perform the task, pneumatic launcher system was developed. The launcher system is divided into compression...
For most physical stores, procuring customer behavior data and client management is di cult yet crucial. For stores, especially luxury stores, who value returning customers the most, identifying customer's identity and past purchase history would significantly improve the sales by personalizing the recommendation. Many chain stores utilize membership card to collect purchase information and change...
In this paper is presented the integration of diverse modules for people fallen detection by a mobile service robot. This integration has been achieved in the middleware ROS (Robotics Operation System). The proposed implementation are arranged over an modular architecture of three layers: Hardware, Processing and Decision. The modules implemented are on the processing layer. The first module uses...
Limited research has been performed attempting to handle multiuser storytelling environments in virtual reality. As such, a number of questions about handling story progression and maintaining user presence in a multi-user virtual environment have yet to be answered. We created a multi-user virtual reality story experience in which we intend to study a set of guided camera techniques and a set of...
Spoofing detection is essential for practical face recognition system. Based on the fact that genuine face has special geometric curvatures across surface, this paper brings forward an ultra-fast yet accurate spoofing detection approach using a low-cost stereo camera. To obtain curvatures, the three dimensional shapes of selected facial landmarks are analyzed, by fitting point cloud around each landmark...
The cameras which use in day to day life are low resolution and high resolution cameras. In Practical video scrutiny applications, the faces developed by outside cameras are of low degree resolution and are disturbed by uncontrolled brilliance. Since low resolution cameras are preferred for surveillance because of its low cost. The existing GLF feature is not robust to track face at large changes...
For the purposes of inferring social behavior in crowded conditions, three concepts have been explored: 1) the GE Sherlock system which makes use of computer vision algorithms for the purposes of the opportunistic capture of various of social cues, 2) a one shot learning paradigm where behaviors can be identified based on as few as a single example and 3) an agent based approach to inference where...
This paper aims to study the problem of spoofing attack detection for facial recognition systems. Real faces and falsified faces present in front of a security system (phone's camera in our case) have differences of micro-textures on their surface, which are exploited to discriminate face spoofing images. Our method exploits the statistic behavior of the distribution of noise's local variances, which...
In this paper, with the help of controllable active near-infrared (NIR) lights, we construct near-infrared differential (NIRD) images. Based on reflection model, NIRD image is believed to contain the lighting difference between images with and without active NIR lights. Two main characteristics based on NIRD images are exploited to conduct spoofing detection. Firstly, there exist obviously spoofing...
Currently, eye localization has been a popular research field, amount of methodologies and algorithms were proposed. However, most of them focused on improving detection's precision under static environment whereas required a high demand on computational resources, which leads to an obvious defect—low efficient performance in real-time video streaming eye detection. To solve this problem, an efficient...
In the current scenario one of the major causes of road accidents in the world is the fact that after driving hundreds of kilometers at a stretch, the driver feels drowsy and eventually dozes off while driving or they are not aware of the environment they might just be entering. They might also be unaware of any defect in their cars. There is an alarming increase in hit and run cases caused by drivers...
This paper describes biometric liveness establishment in support of server-side authentication computation on user face data, as captured on client-side apparatus, via a bidirectional user-to-server challenge-response interaction. We propose for server-side issue of a random challenge, with the user undertaking verbal delivery of the response into aforesaid capture apparatus. This spoken input is...
In this paper, we present a novel face spoofing detection method based on 3D lighting environment analysis of an image pair collected before and after the lighting environment change. Our idea is inspired from the unimpressive fact that the illumination distributions of the internal spoof face stays stable under the protection of the photo and screen plane, while that of a exposed genuine face changes...
In this study, we propose a novel method for facial landmark detection (FLD) based on an ensemble of local weighted regressors and a global face shape model under real driving situations. Unlike other FLD approaches, the method proposed in this study first detects the nose region instead of a face-bounding box as a reference point for estimating the offset from a landmark and a reference point. Next,...
Gender estimation has received increased attention due to its use in a number of pertinent security and commercial applications. Automated gender estimation algorithms are mainly based on extracting representative features from face images. In this work we study gender estimation based on information deduced jointly from face and body, extracted from single-shot images. The approach addresses challenging...
With the recent broad acceptance of body worn cameras (BWC) for police departments, there is an increased need to perform video analytics for this domain. However, body worn cameras pose several challenges including severe motion blur, barrel camera distortion from wide angle lenses, close proximity and odd viewing angles, and poor lighting conditions. In this paper, we evaluate the performance of...
Advancement in computer technology has made possible to evoke new video processing applications in field of biometric face detection and recognition. It has wide range of applications in human recognition, human computer interaction (HCI), behavior analysis, teleconferencing and video surveillance. Face is vital part of human anatomy that reflects prominent topographies of a person. Face detection...
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