Remember like humans: Visual tracking with cognitive psychological memory model. (14th February 2017)
- Record Type:
- Journal Article
- Title:
- Remember like humans: Visual tracking with cognitive psychological memory model. (14th February 2017)
- Main Title:
- Remember like humans
- Authors:
- An, Ning
Sun, Shi-Ying
Zhao, Xiao-Guang
Hou, Zeng-Guang - Abstract:
- Visual tracking is a challenging computer vision task due to the significant observation changes of the target. By contrast, the tracking task is relatively easy for humans. In this article, we propose a tracker inspired by the cognitive psychological memory mechanism, which decomposes the tracking task into sensory memory register, short-term memory tracker, and long-term memory tracker like humans. The sensory memory register captures information with three-dimensional perception; the short-term memory tracker builds the highly plastic observation model via memory rehearsal; the long-term memory tracker builds the highly stable observation model via memory encoding and retrieval. With the cooperative models, the tracker can easily handle various tracking scenarios. In addition, an appearance-shape learning method is proposed to update the two-dimensional appearance model and three-dimensional shape model appropriately. Extensive experimental results on a large-scale benchmark data set demonstrate that the proposed method outperforms the state-of-the-art two-dimensional and three-dimensional trackers in terms of efficiency, accuracy, and robustness.
- Is Part Of:
- International journal of advanced robotic systems. Volume 14:Number 1(2017:Jan./Feb.)
- Journal:
- International journal of advanced robotic systems
- Issue:
- Volume 14:Number 1(2017:Jan./Feb.)
- Issue Display:
- Volume 14, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 14
- Issue:
- 1
- Issue Sort Value:
- 2017-0014-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-02-14
- Subjects:
- Visual object tracking -- biologically inspired vision -- cognitive psychological memory model -- 3-D perception.
Robotics -- Periodicals
Robotics
Periodicals
629.892 - Journal URLs:
- http://arx.sagepub.com/ ↗
http://search.epnet.com/direct.asp?db=bch&jid=13CR&scope=site ↗
http://www.intechweb.org/journal.php?id=3 ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/1729881417692313 ↗
- Languages:
- English
- ISSNs:
- 1729-8806
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7254.xml