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Our work builds upon Visual Teach & Repeat 2 (VT&R2): a vision-in-the-loop autonomous navigation system that enables the rapid construction of route networks, safely built through operator-controlled driving. Added routes can be followed autonomously using visual localization. To enable long-term operation that is robust to appearance change, its Multi-Experience Localization (MEL) leverages...
Laughter detection is an essential aspect towards effective human-computer interaction. This work primarily addresses the problem of laughter detection in a real-time environment. We utilize annotated audio and visual data collected from a Kinect sensor to identify discriminative features for audio and video, separately. We show how the features can be used with classifiers such as support vector...
This paper describes the development of an immersive VR application that lets visual artists quickly visualize and prototype their pictorial design ideas in virtual environments. First, the design requirements are outlined and then the implementation of the application prototype in Unreal Engine 4 is explained. We perform preliminary user tests and discuss the feedback, as well as further improvements...
In this demonstration paper, we present SPATE, an innovative telco big data exploration framework whose objectives are two-fold: (i) minimizing the storage space needed to incrementally retain data over time, and (ii) minimizing the response time for spatiotemporal data exploration queries over stored data. Our framework deploys lossless data compression to ingest streams of telco big data in the...
Through investigating the status of information management of laboratory equipment in a certain aerospace scientific research unit, analyzing the backwardness of its equipment information management mode, low efficiency and high error rate, this paper puts forward the application of RFID(Radio Frequency Identification) technology in the laboratory, combining visualization, data mining technology and...
This paper introduces a spike camera with a distinct video capture scheme and proposes two methods of decoding the spike stream for texture reconstruction. The spike camera captures light and accumulates the converted luminance intensity at each pixel. A spike is fired when the accumulated intensity exceeds the dispatch threshold. The spike stream generated by the camera indicates the luminance variation...
Moving target detection and tracking, recognition, behaviours analysis are the key issues in the intelligent visual surveillance system (IVSS). The challenge is how to process the real-time video stream in an effective way in case that we could find the interested objects for analysis. However, the traditional video surveillance technology often does not meet the needs of real-time key frame recognition...
We present an approach to model the deployment costs, including compute and IO costs, of Microservice-based applications deployed to a public cloud. Our model, which we dubbed CostHat, supports both, Microservices deployed on traditional IaaS or PaaS clouds, and services that make use of novel cloud programming paradigms, such as AWS Lambda. CostHat is based on a network model, and allows for what-if...
Repetitive visual stimuli induce periodic Visual Evoked Potentials (VEPs) in the brain that can be potentially identified in an EEG trace. The ability to distinguish frequencies and patterns due to different stimuli is the basis for brain computer interfaces (BCIs) used for communication and control of neurologically disabled patients. Since such responses are recorded in presence of high levels of...
In this demonstration we present MiniNAM, a utility that provides real-time animation of networks created by the Mininet emulator. Mininet is one of the most well-known network emulators in research and academia. Although Mininet is capable of emulating both traditional and software-defined networks, it does not provide a tool to visually observe and monitor the packets flowing over the created network...
We describe the process of calculating the execution time prole (ETP) in order to determine the probabilistic worst case execution time (WCET) using a model-based approach. By hierarchical state machines with probabilistic transitions and costs/reward speci- cations, we model the instructions with probabilistic execution time. From the model, our tool, pState, generates input code for a probabilistic...
The ATIS (Abyss Twisted-pair Imaging System) and FITS (Fiber-optical Instrumentation Towed System) were developed for real-time observing on the sea floor around the gas hydrate seeps, while the V-corer (Video-guided multi-corer) was for effective sediment collection. Considering that the CTD (Conductivity, Temperature, and Depth) winch is a standard equipment on most of the research vessels, the...
With the development of Brain-Computer Interface (BCI) systems people with motor disabilities are able to control external devices using their thoughts. To control a device through BCI, brain activities of the user must be accurately translated to meaningful commands and a design of appropiate BCI paradigms play important roles in such tasks. This work presents a design and evaluation of a BCI system...
Implementing robust and real-time visual tracking method is a challenging task due to many disturbing factors such as illumination changes, appearance changes, noises and irregular dynamic occlusion, etc. In order to solve this problem, a moving target tracking method, which can update the background template real-time with memory and establish self-adaptive background template library, is presented...
Live instructors perspective videos are useful to present intuitive visual instructions for trainees in medical and industrial settings. In such videos, the instructors hands often hide the work area. In this demo, we present a diminished hand for visualizing the work area hidden by hands by capturing the work area with multiple cameras. To achieve the diminished reality, we use a light field rendering...
Virtual Reality technology has a promising future in the area of living space because of its capacity for deconstructing data of space and visualization. The article is mainly about the brand new ways of space designing and the application of intelligent home system based on virtual reality technologies. It describes the revolution this technology will bring in constructing a humanized, scientific,...
The paper proposes a visibility augmented proportional navigation guidance law, for maintaining visual contact with a target during the engagement in a structured environment. The well-known proportional navigation guidance law is augmented with a term based on a measure of the target visibility. The guidance law is developed using a modified pursuit-evasion differential game, that includes a measurement...
On-going progressions of Information Technology increase the scope for computer vision-based interventions to facilitate efficient and promising technology for people with disabilities. This project aims to develop a wearable navigational assistive device, titled EyeVista, to facilitate visually impaired sprint athletes. It is a lightweight, easy-to-use, customizable and low-cost wearable jacket built-in...
Index-based image retrieval improves results of a web image search in the customized real-time image search engines. Index-based Image ranking is an efficient method to improve image search results wherein, a user presents a query in customized search engine to retrieve a large number of images from the image pool on the basis of textual information. Traditionally, Index-based hash code image retrieval...
In the era of big data, in order to understand the correlation between data with more intuitive and more effective. This paper designed an interactive visualization tool, exploring the overall data through exploring part of the data. Analysis on the function of visualization interactive technology based on baidu map API, echarts and jQuery UI. It described the general structure and the interaction...
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