scholarly journals Novel framework for automatic localisation of gun carrying by moving person using various indoor and outdoor mimic and real‐time views/Scenes

2020 ◽  
Vol 14 (17) ◽  
pp. 4663-4675
Author(s):  
Rajib Debnath ◽  
Mrinal Kanti Bhowmik
2019 ◽  
Vol 128 (6) ◽  
pp. 1594-1611
Author(s):  
Charles Malleson ◽  
John Collomosse ◽  
Adrian Hilton

AbstractA real-time motion capture system is presented which uses input from multiple standard video cameras and inertial measurement units (IMUs). The system is able to track multiple people simultaneously and requires no optical markers, specialized infra-red cameras or foreground/background segmentation, making it applicable to general indoor and outdoor scenarios with dynamic backgrounds and lighting. To overcome limitations of prior video or IMU-only approaches, we propose to use flexible combinations of multiple-view, calibrated video and IMU input along with a pose prior in an online optimization-based framework, which allows the full 6-DoF motion to be recovered including axial rotation of limbs and drift-free global position. A method for sorting and assigning raw input 2D keypoint detections into corresponding subjects is presented which facilitates multi-person tracking and rejection of any bystanders in the scene. The approach is evaluated on data from several indoor and outdoor capture environments with one or more subjects and the trade-off between input sparsity and tracking performance is discussed. State-of-the-art pose estimation performance is obtained on the Total Capture (mutli-view video and IMU) and Human 3.6M (multi-view video) datasets. Finally, a live demonstrator for the approach is presented showing real-time capture, solving and character animation using a light-weight, commodity hardware setup.


Author(s):  
Massimo Conti ◽  
Simone Orcioni ◽  
Francesco Gregorini ◽  
Pietro Antonelli ◽  
Marco Giammarini ◽  
...  

Talanta ◽  
2020 ◽  
Vol 218 ◽  
pp. 121144 ◽  
Author(s):  
Parvez Mahbub ◽  
Ansara Noori ◽  
John S. Parry ◽  
John Davis ◽  
Arko Lucieer ◽  
...  

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4161 ◽  
Author(s):  
Boxin Zhao ◽  
Xiaolong Chen ◽  
Xiaolin Zhao ◽  
Jun Jiang ◽  
Jiahua Wei

Localization in GPS-denied environments has become a bottleneck problem for small unmanned aerial vehicles (UAVs). Smartphones equipped with multi-sensors and multi-core processors provide a choice advantage for small UAVs for their high integration and light weight. However, the built-in phone sensor has low accuracy and the phone storage and computing resources are limited, which make the traditional localization methods unable to be readily converted to smartphone-based ones. The paper aims at exploring the feasibility of the phone sensors, and presenting a real-time, less memory autonomous localization method based on the phone sensors, so that the combination of “small UAV+smartphone” can operate in GPS-denied areas regardless of the overload problem. Indoor and outdoor flight experiments are carried out, respectively, based on an off-the-shelf smartphone and a XAircraft 650 quad-rotor platform. The results show that the precision performance of the phone sensors and real-time accurate localization in indoor environment is possible.


Author(s):  
Aaron Cassidy

Peter Ablinger has arguably done more to challenge what we mean by "music" than any composer since John Cage. His works include Sehen und Hören (1994–2003), a series of abstract photographs that Ablinger refers to as "Music Without Sounds," Parker Notch (2010) for solo instrument and noise, in which an instrumentalist plays a blisteringly fast transcription of a Charlie Parker solo which is completely obliterated by a thick, dense stream of noise occupying the rest of the audio spectrum, rendering the instrumentalist’s sounds more or less inaudible; and Weiss/Weisslich 36, Kopfhörer (1999), in which the listener dons headphones that have a microphone attached, through which she hears what the microphone picks up in real time (as Ablinger writes, "The same is not the same. There is a difference. At least the difference between just being here and: listening. That difference is the piece." In the various Sitzen Und Hören or Stühle pieces, rows of chairs are set up in various indoor and outdoor locales around the world, in which ‘not the sound, but the listening is the piece.’ The LandschaftsoperUlrichsberg [Landscape Opera] (2009) in seven acts, Act 1 of which consists of planting rows of trees "according to acoustic criterias [sic] as, e.g., colour and intensity of noise, version"; or Quadraturen III (‘Wirklichkeit’), in which various recordings (of speech, street noise, etc.) are transcribed and reproduced with surprising verisimilitude through a computer-controlled player piano.


2013 ◽  
Vol 64 (3) ◽  
pp. 371-377 ◽  
Author(s):  
Mahmoud Mohammadyan ◽  
Bijan Shabankhani

Abstract This study was carried out to determine the distribution of particles in classrooms in primary schools located in the centre of the city of Sari, Iran and identify the relationship between indoor classroom particle levels and outdoor PM2.5 concentrations. Outdoor PM2.5 and indoor PM1, PM2.5, and PM10 were monitored using a real-time Micro Dust Pro monitor and a GRIMM monitor, respectively. Both monitors were calibrated by gravimetric method using filters. The Kolmogorov-Smirnov test showed that all indoor and outdoor data fitted normal distribution. Mean indoor PM1, PM2.5, PM10 and outdoor PM2.5 concentrations for all of the classrooms were 17.6 μg m-3, 46.6 μg m-3, 400.9 μg m-3, and 36.9 μg m-3, respectively. The highest levels of indoor and outdoor PM2.5 concentrations were measured at the Shahed Boys School (69.1 μg m-3 and 115.8 μg m-3, respectively). The Kazemi school had the lowest levels of indoor and outdoor PM2.5 (29.1 μg m-3 and 15.5 μg m-3, respectively). In schools located near both main and small roads, the association between indoor fine particle (PM2.5 and PM1) and outdoor PM2.5 levels was stronger than that between indoor PM10 and outdoor PM2.5 levels. Mean indoor PM2.5 and PM10 and outdoor PM2.5 were higher than the standards for PM2.5 and PM10, and there was a good correlation between indoor and outdoor fine particle concentrations.


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