liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
A Resource-Efficient and High-Performance Implementation of Object Tracking on a Programmable System-on-Chip
Linköping University, Department of Electrical Engineering, Computer Engineering.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
En resurseffektiv och högpresterande implementation av objektföljning på programmerbart system-on-chip (Swedish)
Abstract [en]

The computer vision problem of object tracking is introduced and explained. An approach to interest point based feature detection and tracking using FAST and BRIEF is presented and the selection of algorithms suitable for implementation on a Xilinx Zynq7000 with an XC7Z020 field-programmable gate array (FPGA) is detailed. A modification to the smoothing strategy of BRIEF which significantly reduces memory utilization on the FPGA is presented and benchmarked against a reference strategy. Measures of performance and resource efficiency are presented and utilized in an iterative development process. A system for interest point based object tracking that uses FAST for feature detection and BRIEF for feature description with the proposed smoothing modification is implemented on the FPGA. The design is described and important design choices are discussed.

Place, publisher, year, edition, pages
2016. , 40 p.
Keyword [en]
Computer Vision, FPGA, FAST, BRIEF, object tracking, Computer Technology
National Category
Computer Engineering
URN: urn:nbn:se:liu:diva-124044ISRN: LiTH-ISY-EX--15/4914--SEOAI: diva2:898361
External cooperation
Subject / course
Computer Engineering
Educational program
Programme for Teacher Education, Linköping
2015-12-10, Nollstället, B-huset, Campus Valla, Linköping, 10:15 (English)
Available from: 2016-01-28 Created: 2016-01-18 Last updated: 2016-01-28Bibliographically approved

Open Access in DiVA

Slutgiltig version(9775 kB)152 downloads
File information
File name FULLTEXT02.pdfFile size 9775 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Mollberg, Alexander
By organisation
Computer Engineering
Computer Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 152 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 306 hits
ReferencesLink to record
Permanent link

Direct link