The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Model based extraction of articulated objects in image sequences for gait analysis
Abstract
This paper describes an approach to the extraction of articulated objects which will be used for gait analysis. In most medical applications markers are used to determine trajectories of different body parts. This approach works without any markers. Monotony operators which compute the displacement vector field are used to initialize a contour based tracking algorithm called active rays-for several body parts which are important for gait analysis. The contours of different parts of the human body are extracted and tracked. These parts are approached by simple 3D geometric objects (blocks), which 3D position and motion are estimated for the each image of the image sequence. Then, the trajectories of the moving parts represented by the 3D blocks can be determined and used for classification of different gait disorders.
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“Traditional detectors, such as contour-based target detection [29], the Harris corner detector [30], SIFT, and feature point-based methods [31,32], were used to produce false detection that resulted further in false matching.”
From Real-Time Vehicle Classification and Tracking Using a Transfer Learning-Improved Deep Learning Network (2022) · cites this paper as [29]
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Metadata
- Authors
- Meyer, D., Denzler, J., & Niemann, H.
- Affiliations
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- ORCID
- Niemann, H.
- Venue
- Proceedings of International Conference on Image Processing
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-23
- Volume
- 3
- Pages
- 78-81
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W2117490925
- Cited by
- 115
- References
- 9
- Citations by year
- 2025: 2 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 7 · 2018: 3 · 2016: 8 · 2015: 3 · 2014: 8 · 2013: 11 · 2012: 5
- FWCI
- 3.58
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Proceedings - International Conference on Image Processing (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Gait Recognition and Analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Keywords
- gait analysis, markerless tracking, snakes, displacement field, 3D geometric models, body part tracking, image sequences
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