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This work1 presents a real-time hybrid CPU-GPU implementation of a practical people counting system, developed for real-world airport scenarios and using the existing airport single cameras. The cameras are characterized by low quality images and are installed in arbitrary oblique viewing angles and heights relative to the ground plane. The scenes are characterized by large field of view, large scale...
Cooperative traffic safety is a straightforward approach for a significant reduction of accidents and fatalities. This paper presents a predictive safety system based on a cooperative localization technology using transponders combined with a monocular camera. By means of these sensor components other traffic partners in the surrounding area are recognized and tracked even in case of occlusion. Using...
We present a real-time approach for image-based localization within large scenes that have been reconstructed offline using structure from motion (Sfm). From monocular video, our method continuously computes a precise 6-DOF camera pose, by efficiently tracking natural features and matching them to 3D points in the Sfm point cloud. Our main contribution lies in efficiently interleaving a fast keypoint...
We present a novel technique for localisation of scene elements through sparse stereovision, targeted at obstacle detection. Applications are autonomous driving or robotics. Given a sparse 3D map computed from low-cost features and with many matching errors, we present a technique that can achieve localisation in a real-time context of all potential obstacles in front of the camera pair. We use v-disparity...
We present a hand-held system for real-time, interactive acquisition of residential floor plans. The system integrates a commodity range camera, a micro-projector, and a button interface for user input and allows the user to freely move through a building to capture its important architectural elements. The system uses the Manhattan world assumption, which posits that wall layouts are rectilinear...
With the development of display hardware, computing power, transmission and rendering algorithm, 3DTV is becoming the most promising technology that provides the users a more natural viewing experience than 2D displays. But most 3D movies need to wear 3D glasses to watch. Naked eye 3D is the ultimate goal of the development of 3D technology. Multi-view rendering by depth image based rendering (DIBR)...
This article presents a robust, real-time background subtraction algorithm able to operate properly in complex dynamically changing visual conditions and indoor/outdoor environments, based on a single, cheap monocular camera, like a webcam. This algorithm uses an image grid and models each pixel of the grid as a mixture of adaptive Student-t distributions. This approach makes this algorithm robust...
In this study, we introduce a novel concept of real-time microscopic particle image velocimetry (micro-PIV) for high-speed microchannel flows in a lab-on-a-chip using a frame-straddling high-speed vision system with two camera inputs; it can synchronize two camera inputs with the same view field with a time delay on a submicrosecond time scale. To improve the measurable range of velocity in microchannel...
Recent computer vision technology has made great progress in 3DTV industry. The advent of 3DTV to the home raises a number of challenges beyond the basic display of an available stereo pair. One of them is the production of 3D augmented contents. To present virtual objects over the real world, the existing method is offline processing in postproduction. It is a difficult and expensive work since flexible...
Dense stereo disparity map displayed in real time as video is one form of 3D video that renders objects in the scene by the intensity modulation in terms of the distance to the objects. With two cameras whose the optical axes are parallel, the stereo disparity is calculated to find the range to the objects. Sophisticated matching algorithms are generally slow and difficult to apply parallelism to...
Kinect is a recent technology used for motion detection and human body tracking designed for a video game console. In this study, we explore two different types of 3D image reconstruction methods to achieve a new method for faster and higher quality 3D images. Generating depth perception information using high quality stereo image textures is computationally heavy and inefficient. On the other hand,...
The paper presents the concept of a new visual based driving assistance system for increasing the safety and comfort in traffic. Using a high speed camera observing the vehicle's driver, an embedded image analysis module and a selective darkening panel attached to the windshield, the system is able to detect the appropriate area to be darkened in order to shade the driver's eyes and avoid the dazzling...
The Service-Oriented (SO) paradigm has been widely adopted in the development of distributed applications in open and complex environments due to its inherent flexibility, modularity, ease of code reuse and deployment, among other properties. According to this paradigm, different functionalities are encapsulated in services, which are self-contained re-locatable software entities that can be discovered...
This paper presents a novel smart camera BiCa360 for real-time 360° panoramic views using a rotating dynamic vision sensor at up to 10 rotations per sec. The system consists of (1) a dual-line dynamic vision sensor generating events at high temporal resolution, on-chip time stamping (1µs resolution), having a high dynamic range and the sparse visual coding of the information, (2) a high-speed mechanical...
We present an ASIC system that adjusts the depth of a full HD resolution stereoscopic video by generating a new synthesized view video, which enables 3DTV users to control their 3D depth perception. The system consists of function core blocks including preprocessing, stereo matching, and view synthesis, and interface blocks for in/out, MCU and external memory. The system is implemented with TSMC 65nm...
Abstract: The current methods commonly used in moving targets detection are vulnerable to the impact of noise and brightness. It even leads to the emergence of false target. To solve the problem, a moving object recognition method is proposed in this paper. This method combines the frame difference and background difference in video sequence. It uses the frame difference method to get the information...
Landslide is one of the major natural hazards, threatening human lives and properties. Real-time landslide monitoring is very important to disaster relief. In this paper, the effectiveness of real-time landslide monitoring method based on close-range photogrammetry is investigated in an on-campus landslide test site at Tongji University. Feature point tracking method using landslide image sequences...
Automatic recognition of human actions from video has been studied for many years. Although still very difficult in uncontrolled scenarios, it has been successful in more restricted settings (e.g., fixed viewpoint, no occlusions) with recognition rates approaching 100%. However, the best-performing methods are complex and computationally-demanding and thus not well-suited for real-time deployments...
The triage tag is used in Mass Casualty Incident (MCI) to check the priority of patients treatments and conditions. However, it is difficult to grasp a change in the patient's information since it is a paper tag. In this paper, we propose a system using the electronic triage tag (eTriage) that facilitates emergency medical technicians to grasp patients locations and conditions through visualization...
We live in an era where billions of computers are interconnected. In the very near future, not only computers but also many different digital devices and other physical objects will be seamlessly connected to each other and be able to communicate with little or no human intervention. These interconnected objects are called smart devices, and this concept is called Internet of Things. In this paper,...
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