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In this paper, we propose a new application to infer the “cause” of human crowd (scheduled events, sudden accidents and so on) by mobile crowd sensing. The idea is that we leverage our phone-camera-based, crowd-sourced people counting to firstly localize an event with human crowds, and then extract keywords that spatiotemporally correspond to the event from micro blogs such as tweets. Such keywords...
Upgrading hardware and post-process are two usually used methods to alleviate the low-resolution problem of Space imaging. However, the former produces an expensive cost and increases not only the development cycle but also volume and weight of CubeSat, and the latter causes large transmission of data flow and is very time-consuming. To solve the problems above, in this paper, we design a High-Resolution...
The problem of autonomous vehicles mobility and their orientation in space is an important issue today in the manufacturing sector, especially in relation with the application of standard Industry 4.0. In our paper is presented the design of autonomous mobile device. When designing device, we focused on its wide usability and flexibility in deployment, which was reflected in its architecture. The...
OCC is a pragmatic version of VLC based on a smart device camera that allows easier implementation of various services in smart devices. This article presents a flexible and novel motion detection scheme over a smart device camera in OCC. The motion detection is conducted in conjunction with a static downlink optical camera communication, where a mobile phone front camera is employed as the receiver...
We present a demonstration of HeadPhones (Headtracking + smart-Phones), a novel approach for the spatial registration of multiple mobile devices into an ad hoc multi-display environment. We propose to employ the user's head as external reference frame for the registration of multiple mobile devices into a common coordinate system. Our approach allows for dynamic repositioning of devices during runtime...
This Spotlight department features two separate articles. In "Flying Displays and Drone-Assisted Art Making," Jürgen Scheible and Markus Funk provide an overview of their work in creating flying displays and viewports for drone-assisted art making. In "Interactive Context-Aware Projections with Drones for Exergaming," Klen Copic Pucihar, Matjaz Kljun, Mark Lochrie, Paul Egglestone,...
Modern mobile devices, especially smartphones, are widely equipped with cameras, which enable their owners to capture every memorable moment or scenery, such as parties with friends. However, significant privacy concerns are posed by the potential possibility of revealing a large amount of privacy contained by photos, e.g., portrait of a person. World Driven Access Control (WDAC) [1], which triggered...
The iris scan is an automatic biometric identification method that uses image processing techniques and pattern recognition, however, the pattern presented in the iris can provide useful information for other fields not yet explored such as iridology. In this paper we describe an application for scanning the iris through mobile devices without the need to use special cameras, using the resources of...
This paper presents a novel method for estimating the unknown 6DOF pose of a mobile device. The method is based on matching between the mobile image and the virtual city model which is merely composed of 3D points on planar building facade. The main contributions of this paper are as follows: firstly, we design a new plane generation strategy which fuses the 3D model points, photo homography and the...
The growing interest for mobile biometrics stems from the increasing need to secure personal data and services, which are often stored or accessed from there. Modern user mobile devices, with acquisition and computation resources to support related operations, are nowadays widely available. This makes this research topic very attracting and promising. Iris recognition plays a major role in this scenario...
The ubiquitous hand gesture plays an important role in the natural human machine interaction (HMI). Recently, the consumer color and depth cameras have been used to estimate hand shapes and postures for the mid-air HMI. Under the observation that 3D hand contours possess much information of hand postures, we estimate 3D hand contours from infrared images with a limited computation complexity for the...
This paper proposes a palmprint based human identification system for smartphone. It presents simple markers to the user for palmprint video acquisition and suggests a strategy to autimatically select the best frame for recognition. Performance of the system has been evaluated by using two popular feature extraction techniques viz. SIFT and ORB. Histogram equalization is used for image enhancement...
In this paper, we will explore and develop an embedded real time system and associated algorithms that enable an aggregation of limited resource, low-quality, projectionenabled mobile devices to collaboratively produce a higher quality video stream for a superior viewing experience. Such a resource aggregation across multiple projector enabled devices can lead to a per unit resource savings while...
Testing with final users allows evaluators to detect failures and problems that were not considered during the design and the different stages of development of an application or a web site. In order to be able to perform those tests is important to create an environment where user's responses, reactions and opinions while interacting with an application or a web site can be analyzed. A usability...
In process of 3D image reconstruction, the local image breakage or mismatch are appeared when the objects have high reflection and uniform color properties, such as, windshield of car, reflective paint, etc. In this study, the above-mentioned conditions are overcame by introducing the different statement of software processing to examine the 3D model reconstruction of car. Four types processes, extract...
In order to track the localizations of mobile devices in an unknown environment, this paper presents an architecture combining a monocular camera and an inertial measurement unit (IMU) in ubiquitous mobile devices. The IMU module provides acceleration and angular velocity with high-frequency, but the IMU-based motion tracking is more inclined to collapse due to the drift integration. While the vision-based...
This paper presents an indoor locating system on wearable glasses for people with visual impairment. The proposed system is implemented by visual marker recognition. Because people with visual impairment have difficulty searching markers, this paper proposed a custom color marker which is detectable in 15 m maximum when its size is 400 cm2. The marker recognition can be processed in real-time on a...
Due to advancement in minimization and mass-production, cameras are ubiquitously embedded in most of current mobile devices including phones, vehicles, robots, and augmentedreality displays. These mobile cameras are cheap and can gather in real-time large amounts of streaming data about the surrounding environment. Using an information-theoretic model of a streaming video captured by a mobile camera,...
The rapid development of intelligent transport systems (ITS) brings us a safer and more convenient life. In this field, automatic license plate recognition (ALPR) plays an important role in many applications which have been deployed in reality such as stolen car detection, parking system management, and automatic transport charging system. The traditional ALPR methods usually need a high resolution...
In the field of character recognition, OCR is a success as many software have been commercialized, thanks to the exhaustive efforts of scientists. Nevertheless, there are existing cases in which these sophisticated systems fail, which has not been excavated that demands further investigation. This paper presents an attempt to build an effective algorithm in response to a cutting-edge topic in OCR,...
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