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The basic technology of the sensor network has been developed and passed about 10 years now and it has become an important problem how the technology should be utilized for the general public. Various experiments for practical applications of sensor networks that are currently underway are often targeting urban areas or areas where stable network infrastructure could be built. However, the situation...
The use of eye-tracking in energy-constrained applications requires systems capable of tracking human eyes without consuming large amount of power. In this paper we present a low-power implementation of real-time non-intrusive eye-tracking by single camera. Unlike existing hardware designs, our eye-tracker does not restrict the user nor requires computationally expensive tools for maintaining high...
This paper presents a SIFT-based multi-view cooperative tracking scheme for multiple player tracking in soccer games. We assume that future sports events will be captured by an array of fixed high-definition cameras which provide multi-view video sequences. The imagery will then be used to provide a free-viewpoint networked experience. In this work, SIFT features are used to extract the interview...
In this paper we propose a cloud-based approach to improve the 3D reconstruction capability of handheld devices with real-time depth sensors. We attempt to characterize the quality of 3D information captured by real time depth sensing devices, and in particular examine how sensors from Prime Sense and Canesta measure distances, and derive simple analytical models on performance limitations for each...
End-effectors are considered to be the main topological extremities of a given 3D body. Even if the nature of such body is not restricted, this paper focuses on the human body case. Detection of human extremities is a key issue in the human motion capture domain, being needed to initialize and update the tracker. Therefore, the effectiveness of human motion capture systems usually depends on the reliability...
This article presents an analysis of using multiple Microsoft Kinects to track users in a VR system. More specifically, we analyse the capability of Kinects to track infrared points for use in VR applications. Multiple Kinect sensors may serve as a low cost and affordable means to track position information across a large lab space in applications where precise location tracking is not necessary....
This demo paper describes our daily activity sensing and recognition system with a wrist-worn sensor device called WristSense. The wrist-worn device is equipped with an accelerometer and camera, and can send the sensor data to a Bluetooth-enabled smart phone. With the accelerometer, we capture the wearer's hand postures and hand movements. With the camera, we capture visual information related to...
Vision based methods provide a powerful technique for accessing swimmer performance. Currently, manual analysis of recorded images is used to determine performance-relevant metrics, which incurs significant time and effort for the analyst. Real-time automated image processing algorithms to measure a swimmer's performance for tumble turns is detailed in this paper. The algorithms yield performance...
In this work the goal is to develop a distributed system for sensing, interpreting and visualizing the real-time dynamics of urban life within the 3D context of a city focusing on typical, useful dynamic information such as walking pedestrians and moving vehicles captured by pan-tilt-zoom (PTZ) video cameras. Three-dimensionalization of the data extracted from video cameras is achieved by an algorithm...
Augmented Reality(AR) technology has made up the deficiency of current online video interaction in distance learning and met the needs of visualization of abstract knowledge for learners as well as the needs of interactions between students and learning content. This paper proposed a one-to-many remote video learning system based on AR technology. Teachers can transmit learning content to remote students...
Currently, both the market and the academic communities have required applications based on image and video processing with several real-time constraints. On the other hand, detection of moving objects is a very important task in mobile robotics and surveillance applications. In order to achieve an alternative design that allows for rapid development of real time motion detection systems, this paper...
Advances in surveillance technology create challenges for management and presentation of massive amount of sensor and imagery data. The imageries acquired by the surveillance sensors often yield “soda straw” views of the situation due to the camera narrow field of view (FOV). Conventional surveillance systems that comprise of multiple screens, each displaying respective acquired video stream, fail...
Augmented Reality (AR) systems which use optical tracking with fiducial marker for registration have had an important role in popularizing this technology, since only a personal computer with a conventional webcam is required. However, in most these applications, the virtual elements are shown only in the foreground a real element does not occlude a virtual one. The method presented enables AR environments...
Effective perimeter protection mechanisms for industrial sites and critical infrastructure must contend with a large variety of potential threats as well as with the fact that normal site activity can be both complex and diverse. This paper documents the development of a system level approach capable of functioning under such challenging conditions. A multi-view tracking system is used to provide...
The design and the implementation of a flexible and cost-effective embedded system for real-time correction of fish-eye automotive cameras is presented. Nowadays many car manufacturers already introduced on-board video systems, equipped with fish-eye lens, to provide the driver a better view of the so-called blind zones. A fish-eye lens achieves a larger field of view (FOV) but, on the other hand,...
Researchers have paid considerable attention to natural user interfaces, especially sensing gestures and touches upon an un-instrumented surface from an overhead camera. We present a system that combines depth sensing from a Microsoft Kinect and temperature sensing from a thermal imaging camera to infer a variety of gestures and touches for controlling a natural user interface. The system, coined...
Due to many advantages, the mobile manipulators have been used in many areas. However, it is challenging to operate such system in teleoperation because of the too many controllable degrees for the teleoperator. Additionally, because of the unstructured working environment, it is necessary for the mobile manipulator to posses the ability of solving this problem in real time. The existing methods cannot...
In the future, a comprehensive home surveillance system could be constructed using a network of pre-existing cameras found in household products. To be incorporated into household products, the camera must be small. In addition, for surveillance cameras, resolution and sensitivity are important. There is a trade-off between these three requirements, small-size, high-resolution and high-sensitivity...
Augmented Reality means interacting with the real world circumstances and virtual objects at the same time which is augmented by system generating inputs. That is, it allows the system generated content to be superimposed over a live camera of the real world. It is an absolutely graphical experience that is combined with real world circumstances. Here, the landmark will be acquired as an input of...
This paper describes a new architecture for Visual Simultaneous Localization And Mapping (SLAM), aimed at being implemented on different embedded boards on mobile robots. We detail the architecture of our C-coded program, which gives real-time results. We present the different methods used to get a real-time solution for the visual SLAM problem, for image processing, landmark parameterization and...
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