Repository logo
 

An FPGA Implementation of the Mean-shift Algorithm for Object Tracking

Files

Whole thesis(11.71 MB)

Date

2014

Authors

Supervisor

Collins, John
Beckerleg, Mark

Item type

Thesis

Degree name

Master of Engineering

Journal Title

Journal ISSN

Volume Title

Publisher

Auckland University of Technology

Abstract

Object tracking remains an important field of study within the broader discipline of Computer Vision. Over time, it has found application in a wide variety of areas, including industrial automation, user interfaces, navigation, object retreival, surveillance, and many more besides. A subset of these applications benefit from real-time or high-speed operation. This study attempts to implement the well known CAMSHIFT algorithm from its original specification in an FPGA. The inner loop operation to compute the mean shift vector is unrolled and vectorised to achieve real time operation. This allows the mean shift vector to be computed and the target to be localised within the frame acquisition time without the need for multiple clock domains.

Description

Keywords

Computer Vision, FPGA, Mean Shift, Object Tracking

Source

DOI

Publisher's version

Rights statement

Permanent link

https://hdl.handle.net/10292/10642

Collections

Masters Theses