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Face authentication emerges as a powerful method for preventing unauthorized access to mobile devices. It is, however, vulnerable to photo-based forgery attacks (PFA) and videobased forgery attacks (VFA), in which the adversary exploits a photo or video containing the user's frontal face. Effective defenses against PFA and VFA often rely on liveness detection, which seeks to find a live indicator...
Visual data are rich, which have opened vast analytics opportunities and been widely used in many applications. However, the demanding requirements of computational resources and bandwidth have prevented the data from being useful in an economically efficient manner. A visual fog paradigm is needed for efficient processing of continuous video streams by collaboratively using things in the Internet...
In this paper, we present an approach for the analysis of parking slots by exploiting urban surveillance networks. This work has been developed in a project which aims to facilitate to the car drivers the access to available car parking slots. This paper describes a framework that exploits video streams provided by urban networks of cameras. The objective is to remotely determine the occupancy status...
In this work, the problem of dynamic video scene creation obtained by combining information extracted from multiple video sequences is considered. The main novelty of the proposed approach relies on the use of aesthetic features for automatically aggregating the inputs from different cameras in a unique video. While prior methodologies have separately addressed the issues of aesthetic feature extraction...
Internet of Things (IoT) systems produce great amount of data, but usually have insufficient resources to process them in the edge. Several time-critical IoT scenarios have emerged and created a challenge of supporting low latency applications. At the same time cloud computing became a success in delivering computing as a service at affordable price with great scalability and high reliability. We...
This demonstrator reveals the performance and features of a single photon avalanche diode (SPAD) camera prototype. It is aimed to 2D/3D vision by photon counting and direct time-of-flight (d-ToF), respectively. The imager is built on a standard CMOS technology without any opto flavor or high voltage option. The camera module consists of a 64×64 SPAD imager and a FPGA board for real time image reconstruction...
A compact all-CMOS spatiotemporal compressed sensing (CS) video camera is demonstrated. This CS-based framework [1], implemented on integrated circuits, is able to achieve 20-fold reduction in the readout speed and consumes only 14μW to provide 100 fps videos. Taking advantage of dictionary learning and sparse recovery, this prototype image sensor (127×90 pixels) can reconstruct 100 fps videos from...
The Internet of Things (IoT) is the internetworking of a variety of devices, including sensors. Among all sensors, visual sensors (i.e. cameras) are special because they can provide rich and versatile information. The world already has more than one billion cameras on mobile phones. We define the internet-working of visual sensors as the Internet of Video Things. This article estimates the number...
Display-camera data links can be regarded as a massive MIMO visible light communication. They are a research topic since several years. Imperceptible data transmission while simultaneously presenting video sequences for human viewers on the display is an innovative approach allowing for many new applications. Several groups work on this concept. This paper describes a new approach with specific modulation...
Recent studies about the use of cloud platforms indicate that more than three-fourths of healthcare institutions apply these technologies in their daily lives. However, in most cases the cloud is based on “Infrastructure as a Service”, instead of developing new applications using the benefits that can bring us this type of technology. For these reasons, this paper shows a private cloud-based system...
With the multimedia sensor is widely used, moving objects detection and tracking based on video have gradually become a popular research field in multimedia sensor networks. For the multimedia sensor networks, the existing target detection and tracking algorithm cannot meet the system requirements of real-time and accuracy, which existing the problem of slowness and target missing. Therefore, this...
Wireless video surveillance is an important option suitable when it is difficult to have cable Internet and electricity infrastructure, which is the case, for example, for construction yards or vehicles. We present iCam, an open-source Internet-enabled video surveillance project, in which we use mainly discarded camera phones. The mobile application is written mainly in Python on most phone platforms,...
Currently, gesture recognition from continuous video sequences is one of the most exciting research areas. This paper proposes a novel HMM-based gesture recognition scheme that can be implemented for developing an improved HCI system capable of providing enhanced performance. This framework explores the high potential of Microsoft's Kinect sensor in gesture recognition by utilizing it in the data...
We present an approach that allows the Georgia Tech Miniature Autonomous Blimp (GT-MAB) to detect and follow a human. This accomplishment is the first Human Robot Interaction (HRI) demonstration between an uninstrumented human and a robotic blimp. GT-MAB is an ideal platform for HRI missions because it is safe to humans and can support sufficient flight time for HRI experiments. However, due to complex...
Video-based human action recognition has become one of the most popular research areas in the field of computer vision and pattern recognition in recent years. It has a wide variety of applications such as surveillance, robotics, health care, video searching and human-computer interaction. There are many challenges involved in human action recognition in videos, such as cluttered backgrounds, occlusions,...
As an important task of video enhancement, a lot of video stabilization methods have been proposed. However in many real-world applications, especially the systems with human-computer interactions, existing methods only remove camera motion in stabilized frames, the remaining object motion will also lead to deviations in manual inputs. In this paper, we collect practical hand drawn bounding boxes...
Multiview applications endow final users with the possibility to freely navigate within 3D scenes with minimum-delay. High-quality rendering of the scene is enabled by transmitting multiple high-quality camera views, which can be used to synthesize additional virtual views to offer a smooth navigation in the scene. When network resources are limited, the set of camera views needs to be properly selected...
We present a multi-scale camera array to capture and synthesize gigapixel videos in an efficient way. Our acquisition setup contains a reference camera with a short-focus lens to get a large field-of-view video and a number of unstructured long-focus cameras to capture local-view details. Based on this new design, we propose an iterative feature matching and image warping method to independently warp...
Several methods for capturing motion data from single video have been reported in computer vision literature, and most of them deal with stationary background. The problem becomes more complex and challenging in a moving scene where traditional background subtraction algorithms often fail. We require robust algorithms for marker-less tracking of human body's movements and for extracting motion information...
This paper addresses vision-based tracking and landing of a micro-aerial vehicle (MAV) on a ground vehicle (GV). The camera onboard the MAV is mounted so that the optical axis is aligned with the downward-facing axis of the body-fixed frame. A novel supervised learning vision algorithm is proposed as the method to detect the ground vehicle in the image frame. A feedback linearization technique is...
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