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In this paper we show DIORAMA efficiency in a simulated Mass Casualty Incident drill. As shown by our results DIORAMA system has achieved orderly transport of patients from site of injury to collection point, all red before the yellow were transported (no order was obeyed in the paper drills). We also show that DIORAMA system was used by responders with very short training time and by responders that...
Since conventional evacuation drills do not adequately simulate disaster situations, participants do not feel a sense of tension during evacuation. We developed a game-based evacuation drill (GBED) system that focuses on situational and audio-visual realities and scenario-based interactivity. To improve the visual reality in a GBED, we adopt simple augmented reality (AR) and a binocular opaque head-mounted...
As traditional visual tracking algorithms based on co-training framework are characterized by poor robustness in numerous real-time scenarios, a robust visual tracking algorithm based on structural multi-scale features adaptive fusion in co-training is thereby proposed. In order to achieve a comprehensive representation, we select structural multi-scale features in gray intensity space and local binary...
Due to the ever increasing commercial availability of High Dynamic Range (HDR) content and displays, backward compatibility of HDR content with Standard Dynamic Range displays is currently a topic of high importance. Over the years, a significant amount of Tone Mapping Operators (TMOs) have been proposed to adapt HDR content to the restricted capabilities of SDR displays. Among them, the Histogram...
In this paper, we propose an approach for automatic detection of bike-riders without helmet using surveillance videos in real time. The proposed approach first detects bike riders from surveillance video using background subtraction and object segmentation. Then it determines whether bike-rider is using a helmet or not using visual features and binary classifier. Also, we present a consolidation approach...
Visual tracking plays a fundamental role in many applications, such as video surveillance, image compression and three-dimensional reconstruction. From the perspective of accuracy and complexity, correlation filter for target tracking has been proved to be one of the most efficient algorithms. However, it suffers from some difficulties when tracking complex objects with rotations, occlusions and other...
The trends are reviewed in the development of unmanned transport systems. There is highlighted an increasingly important part of various range vision/location systems. There is described an architecture of the on-board computer network supplying information to the control systems of the mobile vehicles with the enhanced level of independence and totally unmanned. The proposed architecture provides...
Ping Tan as known as the traditional ballad performance in Suzhou, China. Ping Tan used to perform in ballad with Suzhou dialect and its always performing together with the aesthetics of the traditional ink painting of China as the background of it. Due to the era nowadays, it is better to transform the ink painting of the background into digital form with new media technology. The best way to let...
Nowadays, many kinds of IT-based healthcare products have been released, which measure the patients' health status and warn them of potential risk they might have. In addition, this accumulated data can be sent to remote medical staff in order for the users to get the proper guidelines or treatments from them. In this paper, we propose a simple approach which makes sure that the patients secure the...
Public election viewed as one of the biggest event for democracy as it will start a new phase of government in hundreds of regions across Indonesia. Such a major event will attract a big attention and require careful decision making, thus a real time information for decision support become crucial part. Twitter can serve the purpose as one source of real time information from user generated content,...
In big data world, Hadoop Distributed File System (HDFS) is one of the famous file system to store huge data. HDFS will take care about managing and maintaining the data in distributed way. Based on research we did to discuss that how the real time streaming data can be processed and stored into Mongo DB and Hive. Big data analytics can be performed on data stored on Hadoop distributed file system...
We demonstrate an interactive digit recognition system using a spiking Deep Neural Network (DNN) FPGA-based system connected to two event-driven sensors: a Dynamic Vision Sensor (DVS) and a Dynamic Audio Sensor (DAS). Sensor fusion is demonstrated on a digit classification task using a DNN trained on the MNIST dataset supplemented by assignment of a unique pure ton e for each digit.
Since multicore processors are now the architectural standard and parallel computing is in the core CS curriculum, educators must create pedagogical materials and tools to help students master parallel abstractions and concepts. This paper describes the thread safe graphics library (TSGL), a tool by which an educator can add graphics calls to a working multithreaded program in order to make visible...
This paper presents a real-time multi-modal spiking Deep Neural Network (DNN) implemented on an FPGA platform. The hardware DNN system, called n-Minitaur, demonstrates a 4-fold improvement in computational speed over the previous DNN FPGA system. The proposed system directly interfaces two different event-based sensors: a Dynamic Vision Sensor (DVS) and a Dynamic Audio Sensor (DAS). The DNN for this...
Sensory substitution is a technique whereby sensory information in one modality such as vision can be assimilated by an individual in another modality such as hearing. This paper makes use of a depth sensor to provide a spatial-auditory sensory substitution system, which converts an array of range data to spatial auditory information in real-time. In experiments, participants were trained with the...
Big data refers to several collections of data sets so large and difficult that it becomes complex to process using traditional information giving out applications. The issues include study, confine, curation, investigate, division, storage space, convey, image, and confidentiality violation. The characteristics of big information are volume, velocity, value and variety. Big data is the information...
This paper presents a robust and efficient automatic visual surveillance system to detect presence of human being in restricted zones that are off limit i.e. military installations, secure depository, border areas etc. The system is based on multi-algorithms namely HAAR wavelet (HAAR), Local Binary Pattern (LBP) and Histogram of Oriented Gradients (HOG) and capable to tackle the following challenges:...
Wireless research and education are often hindered by the fact that RF electromagnetic signals are invisible and therefore hard to visualize. Domain-specific software, such as those used for antenna radiation pattern measurements, has significantly enhanced the level of radiation visualization through interactive 3D plots. However, the intuition stops there and does not carry over into the real-word...
Research has shown that visual information of multimedia is critical in highly-skilled application, such as biomedicine and life sciences, and a certain visual reasoning process is essential for meaningful search in a timely manner. Relevant image characteristics are learned and verified with accumulated experiences during the reasoning processes. However, such type of process is highly dynamic and...
Computer vision has become the tool of two-dimensional image recognition and analysis, which mainly means extracting image features. But the problem of robustness and real-time property in complex scenarios makes feature extraction become a challenging task. Visual attention is an important psychological adjustment mechanism in the process of human visual information management, under the guidance...
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