Cited by 212Human Pose and Action RecognitionHand Gesture Recognition SystemsContext-Aware Activity Recognition Systems

ChaLearn Looking at People Challenge 2014: Dataset and Results

Escalera, Sergio, Baró, Xavier, Gonzàlez, Jordi, Bautista, Miguel A., Madadi, Meysam, Reyes, Miguel, Ponce-López, Víctor, Escalante, Hugo J. +2 more·2015·Lecture Notes in Computer Science

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Crossref · 10.1007/978-3-319-16178-5_32

Cites

17 of 17 references verified0 citation errors · 0 not checkable

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  • The Chalearn 2014 Looking at People Challenge (track 3) dataset consists of 13,858 instances of Italian conversational gestures performed by different people and recorded with a consumer RGB-D sensor.

    “The Chalearn 2014 Looking at People Challenge (track 3) dataset [14] consists of 13,858 instances of Italian conversational gestures performed by different people and recorded with a consumer RGB-D sensor.”

    From ModDrop: Adaptive Multi-Modal Gesture Recognition (2016) · cites this paper as [14]

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Authors
Escalera, S., Baró, X., Gonzàlez, J., Bautista, M. A., Madadi, M., Reyes, M., Ponce-López, V., Escalante, H. J., Shotton, J., & Guyon, I.
Affiliations
  • Universitat Oberta de Catalunya (ES)
  • Universitat Autònoma de Barcelona (ES)
  • Computer Vision Center (ES)
  • National Institute of Astrophysics, Optics and Electronics (MX)
  • Microsoft (United States) (US)
  • ChaLearn (US)
Venue
Lecture Notes in Computer Science
Published
2015
Pages
459-473
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W619311409
Cited by
211
References
18
Citations by year
2026: 1 · 2025: 7 · 2024: 11 · 2023: 14 · 2022: 11 · 2021: 19 · 2020: 17 · 2019: 14 · 2018: 27 · 2017: 28 · 2016: 24 · 2015: 37 · 2014: 1
FWCI
15.86
Type
conference paper
Language
en
Open access
closed
Locations
  • Lecture notes in computer science (publishedVersion)
  • HAL (submittedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
  • Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
human action recognition, user-independent recognition, Jaccard similarity, benchmark dataset

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