Multiple marker tracking in a single-camera system for gait analysis

Cheng Yang, Ukadike Ugbolue, Bruce Carse, Vladimir Stankovic, Lina Stankovic, Philip Rowe

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

13 Citations (Scopus)

Abstract

Human gait analysis for stroke rehabilitation therapy using video processing tools has become popular in recent years. This paper proposes a single-camera system for capturing gait patterns using a Kalman-Structural- Similarity-based algorithm which tracks multiple markers simultaneously. This algorithm is initialized by obtaining the user-selected blocks in the first frame of each video, and the tracker is implemented by using Structural-Similarity image quality assessment algorithm to detect each marker frame by frame within a search area determined by a discrete Kalman filter. Experimental results show the trajectories of the markers fixed on the joints of a human body. The obtained numerical results are used to generate gait information (e.g., knee joint angle) that is later used for diagnostics. The proposed method aims to explore an alternative and portable way to implement human gait analysis with significantly less cost compared to a state-of-the-art 3D motion capture system. 

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages3128-3131
Number of pages4
ISBN (Print)9781479923410
DOIs
Publication statusPublished - 1 Dec 2013
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, United Kingdom
Duration: 15 Sep 201318 Sep 2013

Conference

Conference2013 20th IEEE International Conference on Image Processing, ICIP 2013
CountryUnited Kingdom
CityMelbourne, VIC
Period15/09/1318/09/13

Fingerprint

Gait analysis
Cameras
Kalman filters
Patient rehabilitation
Image quality
Trajectories
Processing
Costs

Keywords

  • gait analysis
  • marker tracking
  • structural-similarity

Cite this

Yang, C., Ugbolue, U., Carse, B., Stankovic, V., Stankovic, L., & Rowe, P. (2013). Multiple marker tracking in a single-camera system for gait analysis. In 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (pp. 3128-3131). [6738644] Piscataway, NJ, United States: IEEE. https://doi.org/10.1109/ICIP.2013.6738644
Yang, Cheng ; Ugbolue, Ukadike ; Carse, Bruce ; Stankovic, Vladimir ; Stankovic, Lina ; Rowe, Philip. / Multiple marker tracking in a single-camera system for gait analysis. 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. Piscataway, NJ, United States : IEEE, 2013. pp. 3128-3131
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Yang, C, Ugbolue, U, Carse, B, Stankovic, V, Stankovic, L & Rowe, P 2013, Multiple marker tracking in a single-camera system for gait analysis. in 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings., 6738644, IEEE, Piscataway, NJ, United States, pp. 3128-3131, 2013 20th IEEE International Conference on Image Processing, ICIP 2013, Melbourne, VIC, United Kingdom, 15/09/13. https://doi.org/10.1109/ICIP.2013.6738644

Multiple marker tracking in a single-camera system for gait analysis. / Yang, Cheng; Ugbolue, Ukadike; Carse, Bruce; Stankovic, Vladimir; Stankovic, Lina; Rowe, Philip.

2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. Piscataway, NJ, United States : IEEE, 2013. p. 3128-3131 6738644.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Yang C, Ugbolue U, Carse B, Stankovic V, Stankovic L, Rowe P. Multiple marker tracking in a single-camera system for gait analysis. In 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. Piscataway, NJ, United States: IEEE. 2013. p. 3128-3131. 6738644 https://doi.org/10.1109/ICIP.2013.6738644