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Evaluation of TLD/Predator algorithm: Evaluation of TLD(aka Predator) algorithm used for real-time tracking of unknownobjects in a video stream from eye tracking perspective.
KTH, School of Computer Science and Communication (CSC).
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Abstract

TLD is an award-winning, real-time algorithm for long-term tracking of unknown objects in

video streams. The object of interest is defined by a bounding box in a single frame. TLD

simultaneously

tracks the object, Learns its appearance and Detects it whenever it appears

in the video. The result is a real-time tracking that typically improves over time. Long-term

tracking of arbitrary objects is a the core problem in many computer vision applications:

surveillance, object auto-focus, SLAM, games, HCI, video annotation etc.

The following work is done:

1. The OpenTLD algorithm is extended for Multi-Object Tracking.

2. The OpenTLD algorithm is evaluated (i.e. problems with the algorithm, usability of

the algorithm), specially from Eye tracking perspective.

3. The OpenTLD algorithm is compared with other tracking algorithm e.g. Mean shift

in OpenCV in terms of tracking performance.

4. Some enhancements to the OpenTLD algorithm are made.

Place, publisher, year, edition, pages
2013.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-142017OAI: oai:DiVA.org:kth-142017DiVA: diva2:699483
Educational program
Master of Science in Engineering - Computer Science and Technology
Supervisors
Examiners
Available from: 2014-03-13 Created: 2014-02-27 Last updated: 2014-03-13Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf