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The TUM Gait from Audio, Image and Depth (GAID) database: Multimodal recognition of subjects and traits
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“The TUM Gait from Audio, Image, and Depth (GAID) [33] database, as the name suggests, is compounded by RGB images, audio, and depth, recorded from 305 people in three different variations at first.”
From Gait Recognition Based on Deep Learning: A Survey (2023) · cites this paper as [33]
In the citing paper
“A strong advantage of this dataset is a well-defined evaluation protocol.”
From Gait Recognition Based on Deep Learning: A Survey (2023) · cites this paper as [33]
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Aydemir, E., Tuncer, T., Doğan, Ş., & Unsal, M. (2020) · Applied Acoustics · doi:10.1016/j.apacoust.2020.107701 · Cited by 16
Gait-based person identification by spectral, cepstral and energy-related audio features
Geiger, J. T., Hofmann, M. R., Schuller, B. W., & Rigoll, G. (2013) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2013.6637689 · Cited by 16
Self-citationRecognition of a Person Wearing Sport Shoes or High Heels through Gait Using Two Types of Sensors
Derlatka, M., & Bogdan, M. (2018) · Sensors · doi:10.3390/s18051639 · Cited by 16
A Review of Techniques on Gait-Based Person Re-Identification
Rahi, B. H., Li, M., & Qi, M. (2023) · International Journal of Network Dynamics and Intelligence · doi:10.53941/ijndi0201005 · Cited by 15
On how to improve tracklet-based gait recognition systems
Marín-Jiménez, M. J., Castro, F. M., Carmona-Poyato, A., & Guil, N. (2015) · Pattern Recognition Letters · doi:10.1016/j.patrec.2015.08.025 · Cited by 15
Metadata
- Authors
- Hofmann, M., Geiger, J., Bachmann, S., Schuller, B., & Rigoll, G.
- Affiliations
- Technical University of Munich (DE)
- Corresponding author
- Hofmann, Martin
- Venue
- Journal of Visual Communication and Image Representation
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 25
- Issue
- 1
- Pages
- 195-206
- ISSN
- 1047-3203 (ISSN-L)
- OpenAlex
- W1984031350
- Cited by
- 246
- References
- 48
- Citations by year
- 2026: 13 · 2025: 22 · 2024: 19 · 2023: 22 · 2022: 33 · 2021: 27 · 2020: 14 · 2019: 19 · 2018: 23 · 2017: 13 · 2016: 11 · 2015: 16 · 2014: 10
- FWCI
- 7.08
- Type
- journal article
- Language
- en
- Open access
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Journal of Visual Communication and Image Representation (publishedVersion)
- OPUS (Augsburg University) (submittedVersion, cc-by-nc-nd)
- Funders
- ALIAS
- EC
- French ANR
- German BMBF
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Gait Recognition and Analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
- Keywords
- gait recognition, multimodal fusion, depth video, audio, RGB video, personal identification, soft biometrics, age estimation, gender prediction, stature estimation, temporal variation
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