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A Compton Camera (CC) prototype is currently being commissioned at the Ludwig-Maximilians-Universität München. It is planned to be used for studying in-vivo proton or ion beam range monitoring capabilities by means of prompt gamma (PG) rays, exploiting Compton scattering kinematics in order to reconstruct a PG based image correlated to the beam range. The camera consists of a monolithic LaBr3(Ce)...
Teaching Internet information resources are slowly conquering the system of education, which gives them their methodical adjustments. The use of information technologies aims at developing students' self-study work and at the ability to think logically, at the formation of creative ability, which is a condition for the formation of communicative competence and readiness for intercultural communication...
As the problem of traffic congestion is increasing day by day, there is a pressing need for the introduction of advanced system to monitor and control traffic efficiently. The analysis of traffic data collected from the camera based systems are the main method used for this purpose. The method presented here can detect vehicles, track and count them with high accuracy on videos from the intersection...
Wearable computing with computer input just by sight for health care is proposed. Wearable computing with Input-Output Devices based on Eye-Based Human Computer Interaction: EBHCI which allows location based web services including navigation, location/attitude/health condition monitoring is proposed. Through implementation of the proposed wearable computing system, all the functionality is confirmed...
In this paper, a new multiresolution CMOS imager sensor with trapezoid pixel array, called TZOID, is presented. It is designed for traffic monitoring. It is specifically for detecting the speed and location of upcoming vehicles, without using binning of pixel signals. The unique trapezoid sensor design also eliminates computationally expensive coordinate mapping to extract necessary information. The...
This research was carried out in order to use image processing techniques to detect, track, classify, and count vehicles in a real-time traffic video. Additionally this research also focuses on occlusion detection and handling, which involves detecting and handling the states when one vehicle superimposes the other or when two superimposed vehicles split, and lane categorization i.e. dividing the...
Image recognition is challenging in the field of wildlife ecology as samples of a specific species can be rare, making manual detection cumbersome. With over 2,060,000 images taken from motion-sensor trail cameras and unmanned aerial vehicle flights, a touch enabled web interface has been developed to allow citizen scientists and ecologists to categorize positive samples. To minimize categorization...
Recently, the transit service by automobiles and railways are evolving. On the other hand, the development of the transmit service by vessels is delayed compared to automobiles and railways system. Therefore, we have started the development of the operation support system for water transit service capable of remote operation, monitor and autonomous navigation. It can be expected the reduction of maritime...
Data centers are extremely important facilities that contain core business information and applications, but the energy consumption is an inevitable issue, so the thermal distribution monitoring is critical for data centers reliable and stable operation. Thermal information enables monitoring and autonomic thermal management in large data centers. Recent approaches that employed a mobile robot or...
A video monitoring system in construction site will produce a large number of video images, which influences safety production supervision personnel to find unsafe behaviors. This paper presents application of intelligent behavior identify technique. Based on this technique, the video monitoring system can capture video streaming data, exquisite frame image data, and identify of the image data by...
There are many problems in the process of agricultural production, such as high labor costs, lack of processional management, delayed disaster warning, waste of agricultural information. In order to solve these problems, we developed the Argo-meteorological system. On the base of achieving real-time monitoring of farmland and disaster warning, it focused on the implementation of the comprehensive...
Head-mounted displays (HMDs) offer immersion and binocular disparity. This study investigated whether an HMD yields better object-alignment performance than a conventional monitor in virtual environments that are rich in pictorial depth cues. To determine the effects of immersion and disparity separately, three hardware setups were compared: 1) a conventional computer monitor, yielding low immersion,...
In this paper an FPGA-based video HiL (Hardwarein-the-Loop) solution is presented. It was designed to evaluate an of-the-shelf ADAS (Advanced Driver Assistance System) smart camera consisting of a video sensor (so-called forward looking camera (FLC)) and video processing unit. It allows to directly capture and store on a PC the video stream from the sensor. Then, the pre-recorded sequences can be...
An efficient people occupancy detection, tracking, and behavior recognition method is introduced in this study. The problem of monitoring wide field can be achieved using the programmable camera network instated of the typical fixed cameras. In addition, based on the depth image feature, the shape feature of the occupant can be used to the activity recognition more accurately.
As the health of the ocean continues to decline, more and more marine populations are at risk of extinction. A significant challenge facing conservation biologists is the ability to effectively monitor at-risk populations due to the challenges of the underwater environment. Obtaining visual data on a marine species typically requires significant time spent by humans observing in the field, which is...
California implemented the State's first network of Marine Protected Areas (MPAs) within the nearshore waters of the northern Channel Islands in 2003. These protections serve as a tool to help ensure the long-term sustainability of marine populations and act as a living laboratory to better understand outside impacts on marine life. California's network operates synergistically to meet the objectives...
This paper presents the details of the development of an underwater camera for monitoring the habitats of red snow-crabs. Because the red snow crabs inhabit the deep waters in the east sea of South Korea, where the depth is approximately between 1,000 m and 1,800 m, and underwater camera that can endure high water pressures is required. Typically, most of the deep-sea cameras are attached to underwater...
Fixed underwater observatories (FUOs) equipped with a variety of sensors including HD cameras, allow long-term monitoring with a high temporal resolution of a limited area of interest. FUOs enable in situ monitoring of visual features like size and color of for instance live cold-water corals using imaging techniques. We present a computational workflow to extract coral features from the huge collection...
In this paper, we present an approach which addresses the problem of drowning. Drowning is one of the leading causes of accidental deaths which needs to be given attention. The objective is to address the question-how can we engineer a system that saves the life of a drowning person? The devised system has the capability to automatically detect drowning by making use of three sensors, namely, a non-invasive...
Wireless Multimedia Sensor Networks (WMSNs) are composed of small embedded video sensors that allow continuous monitoring of a given territory. They collect and analyze frames from different video sensors deployed in the area of interest. One of the most important challenges in WMSN is the big data problem affecting the energy resources of the video sensors. Cameras and video-sensors send images and...
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