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Wide area motion capture using an array of consumer grade structured light sensors
Mälardalen University, School of Innovation, Design and Engineering.
2015 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In this thesis we propose a solution to how a system can find and track people, as well as recognizing their gestures, in a $360^\circ$ field of view using consumer grade products. We describe a system connecting multiple depth cameras in an array and have them operate as a single camera controlled by a single computer. Using a single camera providing features such as detection, tracking and recognizing gestures of people, we specifically focus on the difficulties of preserving these features in moving forward to an array of cameras. We propose a solution based on Microsoft Kinect and Kinect SDK, using linear transformation to account for a fixed camera model to combine skeleton data from an array of Kinect sensors. Furthermore, we use positional based identification to determine whether people are being tracked by another camera in the system. The contributions of this work include insight into the challenges of building this kind of system based on Kinect hardware and software intended for use on a single computer, such as performance bottlenecks, along with possible alternative solutions. In particular, we present performance measurements for a single computer running up to four sensors and show a system that can run satisfactorily with up to at least 5 sensors on today's computers. We show what requirements on hardware can be expected for such a system, as well as where there are potential limits as the number of sensors increase. 

Place, publisher, year, edition, pages
2015. , 34 p.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-29551OAI: oai:DiVA.org:mdh-29551DiVA: diva2:872089
Subject / course
Computer Science
Presentation
2015-11-12, Case - Mälardalens Högskola, Högskoleplan 1, Västerås, 14:25 (Swedish)
Supervisors
Examiners
Projects
Music in Motion
Available from: 2015-11-26 Created: 2015-11-17 Last updated: 2018-01-10Bibliographically approved

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fulltext(722 kB)70 downloads
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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More languages
Output format
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