An Efficient Gait Recognition with Backpack Removal. (4th October 2009)
- Record Type:
- Journal Article
- Title:
- An Efficient Gait Recognition with Backpack Removal. (4th October 2009)
- Main Title:
- An Efficient Gait Recognition with Backpack Removal
- Authors:
- Lee, Heesung
Hong, Sungjun
Kim, Euntai - Other Names:
- Kang Moon Academic Editor.
- Abstract:
- Abstract : Gait-based human identification is a paradigm to recognize individuals using visual cues that characterize their walking motion. An important requirement for successful gait recognition is robustness to variations including different lighting conditions, poses, and walking speed. Deformation of the gait silhouette caused by objects carried by subjects also has a significant effect on the performance of gait recognition systems; a backpack is the most common of these objects. This paper proposes methods for eliminating the effect of a carried backpack for efficient gait recognition. We apply simple, recursive principal component analysis (PCA) reconstructions and error compensation to remove the backpack from the gait representation and then conduct gait recognition. Experiments performed with the CASIA database illustrate the performance of the proposed algorithm.
- Is Part Of:
- EURASIP journal on advances in signal processing. Volume 2009(2009)
- Journal:
- EURASIP journal on advances in signal processing
- Issue:
- Volume 2009(2009)
- Issue Display:
- Volume 2009, Issue 2009 (2009)
- Year:
- 2009
- Volume:
- 2009
- Issue:
- 2009
- Issue Sort Value:
- 2009-2009-2009-0000
- Page Start:
- Page End:
- Publication Date:
- 2009-10-04
- Subjects:
- Signal processing -- Periodicals
Traitement du signal
Signal processing
Periodicals
621.3822 - Journal URLs:
- https://asp-eurasipjournals.springeropen.com/ ↗
http://link.springer.com/ ↗
http://www.hindawi.com/journals/asp/ ↗ - DOI:
- 10.1155/2009/384384 ↗
- Languages:
- English
- ISSNs:
- 1687-6172
- 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:
- 10504.xml