کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
531829 869876 2016 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
RGB-D-based action recognition datasets: A survey
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
RGB-D-based action recognition datasets: A survey
چکیده انگلیسی


• A detailed review and in-depth analysis of 44 publicly available RGB-D-based action datasets.
• Recommendations on the selection of datasets and evaluation protocols for use in future research.
• Identification of some limitations of these datasets and evaluation protocols.
• Recommendations on future creation of datasets and use of evaluation protocols.

Human action recognition from RGB-D (Red, Green, Blue and Depth) data has attracted increasing attention since the first work reported in 2010. Over this period, many benchmark datasets have been created to facilitate the development and evaluation of new algorithms. This raises the question of which dataset to select and how to use it in providing a fair and objective comparative evaluation against state-of-the-art methods. To address this issue, this paper provides a comprehensive review of the most commonly used action recognition related RGB-D video datasets, including 27 single-view datasets, 10 multi-view datasets, and 7 multi-person datasets. The detailed information and analysis of these datasets is a useful resource in guiding insightful selection of datasets for future research. In addition, the issues with current algorithm evaluation vis-á-vis limitations of the available datasets and evaluation protocols are also highlighted; resulting in a number of recommendations for collection of new datasets and use of evaluation protocols.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 60, December 2016, Pages 86–105
نویسندگان
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