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Visual Simultaneous Localization and Mapping (VSLAM) requires feature detection on visual data. In indoor scenes that include architectures such as plain walls and doors, there are no or less corners detected, in such cases tracking will be lost. To overcome this situation we track different types of features that help in feature extraction even in textureless scenes. Line features are used to get...
This paper indicates the dataset and challenges evaluated under PETS2017. In this edition PETS continues the evaluation theme of on-board surveillance systems for protection of mobile critical assets as set in PETS 2016. The datasets include (1) the ARENA Dataset; an RGB camera dataset, as used for PETS2014 to PETS 2016, which addresses protection of trucks; and (2) the IPATCH Dataset; a multi sensor...
Keeping students attentive during lectures may significantly improve learning outcomes. Traditional methods of attention estimation cannot offer a real-time feedback to the teacher. We present a technical concept of student attention monitoring during a lecture. The system utilizes a set of cameras providing tracking of the behavior of individual students in the classroom. The monitoring system is...
The rapid-bubble-growth instability at the onset of flow boiling was studied experimentally in a single, 500 pm-diameter borosilicate glass microchannel subjected to a uniform heat flux of 41.9 kW/m2. Fluid was driven through the microchannel in an open-loop test facility by maintaining a constant pressure difference between a pressurized upstream reservoir and the ambient. Simultaneous measurement...
The increasing age of infrastructure such as bridges or tall buildings requires a significant effort to be performed with respect to inspection such that damage being considered critical can be recognized early in advance and a respective infrastructure management can be performed. Many countries take the advantage of advance in Unmanned Aerial Vehicle technologies and applied for mostly aerial mapping...
In this paper, we analyse first-person-view videos to develop a personalized user authentication mechanism. Our proposed algorithm generates provisional image-based passwords which benefit a variety of purposes such as unlocking a mobile device or fallback authentication. First, representative frames are extracted from the egocentric videos. Then, they are split into distinguishable segments before...
Image retargeting methods change the size of images to an arbitrary resolution while protecting visually important regions from distortion. Since retargeting methods deform contents of an image based on these importance, importance calculation methods suitable for image retargeting is needed. In this paper, we propose a framework to improve an importance map by using depth and segmentation information...
In this paper we propose an effective and wearable mobility aid for people suffering of visual impairments purely based on 3D computer vision and machine learning techniques. By wearing our device the users can perceive, guided by audio messages and tactile feedback, crucial information concerned with the surrounding environment and hence avoid obstacles along the path. Our proposal can work in synergy...
The Cognitive learning process of a human being normally begins with sensory inputs. This process of learning gets hampered in case of persons with one or more perceptual disability. Vision being one of the most important perception, maximum learning happens through it. The absence of vision in humans is often supported by Tactile or Auditory perception during the cognitive learning process. Colour...
In recent years, short-term single-object tracking has emerged has a popular research topic, as it constitutes the core of more general tracking systems. Many such tracking methods are based on matching a part of the image with a template that is learnt online and represented by, for example, a correlation filter or a distribution field. In order for such a tracker to be able to not only find the...
One of the challenges to promoting computer science in schools is to create and retain interest in programming. We describe a pilot project for primary and secondary students in Macau to introduce .NET Gadgeteer, a rapid prototyping platform for building electronic devices. The aim of the yearlong project was to generate interest in building devices, while learning the basics of programming concepts...
Modeling the camera coverage is evidently indispensable to meet the requirements of a variety of visual sensor related applications. It is critical to be able to compute the camera coverage and to plan the related application accordingly. However, it is well known that camera coverage can be modeled geometrically. In contrast, tackling the camera visibility in arbitrary scenario is usually the challenging...
The dynamic disparity influence on visual comfort is studied through the subject evaluation designed with the stereoscopic videos captured in studio and natural environments. The technique of zoom was used with three variables to obtain the video sequences. Experiment results showed that dynamic disparity would bring some discomfort to observers, but it was tolerable. Among the three variables, the...
Because of their potential important role in tasks of 3D space which ground vehicles cannot perform, autonomous flight and exploration of micro aerial vehicle(MAV) has attracted increasing attention. Many researches focused on flight with RGB cameras or laser range finders, whereas MAV with RGB-D cameras has been rarely mentioned. In this paper we present an autonomous navigation system for indoor...
To realize autonomous navigation with a regular camera in an unknown environment, there are mainly two types of approaches: SfM and monocular SLAM. They both have advantages and disadvantages. SfM is slow and cannot eliminate outliers, but it is able to provide 3D information from a series of images without any additional information. Monocular SLAM can hardly work unless the initial value is close...
We consider the problem of target coverage in visual sensor networks with Pan-Tilt-Zoom (PTZ) cameras. The finely controllable movement in PTZ dimensions creates a large number of possible Field-of-View (FoV) settings, making it prohibitively expensive to consider them all in coverage algorithms. However, these FoVs are redundant as each group of targets is generally covered by many FoVs. Thus, an...
The SLAM(simultaneous localization and mapping) problem is one of the essential challenges in mobile robotics. In this paper, we integrate a method to solve the visual SLAM problem based on the extended Kalman filter (EKF) algorithm with an omnidirectional camera. The features in environment around the mobile sensor are extracted by a high-speed corner detection method using omnidirectional vision...
In this video, we present our latest results towards fully autonomous flights with a small helicopter. Using a monocular camera as the only exteroceptive sensor, we fuse inertial measurements to achieve a self-calibrating power-on-and-go system, able to perform autonomous flights in previously unknown, large, outdoor spaces. Our framework achieves Simultaneous Localization And Mapping (SLAM) with...
The SFly project is an EU-funded project, with the goal to create a swarm of autonomous vision controlled micro aerial vehicles. The mission in mind is that a swarm of MAV's autonomously maps out an unknown environment, computes optimal surveillance positions and places the MAV's there and then locates radio beacons in this environment. The scope of the work includes contributions on multiple different...
This paper presents a liveness detection method based on tracking the gaze of the user of a face recognition system using a single camera. The user is required to follow a visual animation of a moving object on a display screen while his/her gaze is measured. The visual stimulus is designed to direct the gaze of the user to sets of collinear points on the screen. Features based on the measured collinearity...
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