The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
With the development of unmanned aerial vehicles (UAVs) and the relevant techniques, UAVs become common and popular for civilian applications such as remote sensing tasks. The reason is because they are cheap, flexible, and easy to set up. Car park occupancy analysis is important for authorities to make decisions on the design, plan and management of car parks. To have a quick knowledge of current...
Abnormal activity sensing has attracted increasing research attention in military surveillance, patient monitoring, and health care of children and elderly, etc. Researchers have exploited the characteristics of wireless signals to sense “keystrokes” and “human talks”, relieving the privacy invasion concern caused by mounting the surveillance cameras or wearing the smart devices. However, existing...
In this paper, we propose a novel method to estimate the posture of the human body in a network of depth sensors. We divide the body into two regions and take a limited number of selective samples from point cloud of human body. The sample points are utilized to compute 2D gradient and the histograms of the gradient of sample points along two different scan directions. These extracted values are then...
This paper explores the novel use of multiple depth sensors to overcome occlusions and improve localization and tracking of body extremities. The usage of data from only depth sensors not only overcomes visual challenges associated with RGB sensors under low illumination, but also protects the identity of surveyed person with high confidentiality. For integrating depth information from multiple sources,...
Monitoring of residences and businesses can be effectively performed using machine learning algorithms. As sensors and devices used for monitoring become more complex, having humans process the information to detect intrusions would be expensive and difficult to scale. We propose an automated home/business monitoring system which resides on edge servers performing online learning on streaming data...
Our goal is to automatically detect which direction a child is facing based on a single, simple overhead picture, and track that direction across time. Engaging in joint attention, which is the shared focus of two individuals on some object of interest, is a strong cue of typically developing children, and the lack thereof can be an indicator of autism spectrum disorder or other pervasive developmental...
This paper presents a new approach for navigating a quadrotor over undulated terrains that can be of great importance for the use of unmanned aerial vehicles in civilian applications such as monitoring of pipes, bridges and buildings. The proposed approach involves the use of a single-beam LiDAR to estimate the terrain profile under uncertainty. The LiDAR is installed at the base of a quadrotor and...
One of the main problems that are being addressed intensively in modern societies is the ageing of population. Today's challenge is to allow elderly people to remain autonomous at their home as much as possible. Currently, one of the active research fields is the development of an assistive living system (ALS) that aims to support people at home. This can help elderly people to stay at home as long...
This paper proposes a new optical camouflage system that uses RGB-D cameras, for acquiring point cloud of background scene, and tracking observers' eyes. This system enables a user to conceal an object located behind a display that surrounded by 3D objects. If we considered here the tracked point of observer's eyes is a light source, the system will work on estimating shadow shape of the display device...
This work presents preliminary observations of the first lightning flash striking an instrumented lightning rod on the top of a common building in Brazil. The measurements include direct electric current in the lightning rod, high-speed recordings using different types of cameras and data from two lightning location systems (LLS) that operate in Brazil: RINDAT and BrasilDAT. The striking flash contained...
With the construction of highway in China, the transportation industry is gradually stepping into the maintenance stage. Whereas the current linear stake number method cannot accurately locate the pavement disease, the road identification theory is introduced to solve the problem of locating pavement disease and the chain scission on highway effectively. However, it has brought many difficulties to...
A monocular vision detection system was designed for multipoint pulse signals detection. The system consists of three parts. The first is pulse image acquisition device, which is used to collect dynamic pulse images. The second is multipoint pulse signals extraction algorithm that is using suitable digital image processing methods to process the collected pulse image sequence, and adopting monocular...
Anticipating human intention by observing one’s actions has many applications. For instance, picking up a cellphone, then a charger (actions) implies that one wants to charge the cellphone (intention) (Fig. 1). By anticipating the intention, an intelligent system can guide the user to the closest power outlet. We propose an on-wrist motion triggered sensing system for anticipating daily intentions,...
A cost-effective micro sun sensor is presented for extracting the sun vector from image sensors based on a phenomenon called the black sun. The black sun, appearing as the result of electron overspill at an oversaturated CMOS image pixel when capturing a bright spot such as the sun, allows extracting the sun centroid accurately and robustly even when the sun image appears irregular and noisy due to...
Real-time head pose recognition is an important function of Advanced Driver Assistance System that need to consider the driver's intention. The majority of early head pose recognition techniques utilize multi-axis sensors or 2D camera images to estimate the head pose in 3D space. When running the head pose recognition systems, the driver has to carry a device with multi-axis sensors or the system...
Smartphone-based augmented reality (AR) applications like the Pokémon Go game are increasingly popular. These applications make extensive use of the smartphone's camera, which may pose a privacy problem as the camera may capture sensitive images or audio information. In this paper, we present PrivacyManager, a framework that allows application developers and domain administrators to control potentially...
In the paper, we present ViViSnoop, a novel video-assisted keystroke inference attack which snoops the victim user's typed input without visually seeing it. Instead, it infers the typed input from the vibration extracted from the video capturing the desk where the physical or virtual keyboard is placed. ViViSnoop is built on the fact that keystrokes on the desk incur mechanical vibrations which are...
Heavy vehicle traffic and flooded areas are problems experienced on roads because of unimproved road infrastructures and environmental deviations. These factors affect vehicle drivers negatively as they contribute to stress, health problems, and wastefulness of time. This study developed a system called ArRoad that monitors and analyzes vehicle traffic and flooded areas using network of sensors and...
The Ambient intelligence (AmI) paradigm refers to electronic environments which are sensitive and responsive to the presence of people. Queue systems are practically used in various institutions and commercial enterprises constituting a challenge for the intelligent environments in smart cities. The management of the customer flows guarantees elimination or reduction of the queues as well as the economic...
In recent years average life expectancy in developed countries has increased, hence the amount of people which depend on a wheeled walking frame and in addition are visually handicapped has grown. The independent mobility of this people is often limited since they need guidance by other humans. Recent research focused on technical guidance systems implemented on a walking frame. The mobile vehicle...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.