Unsupervised discovery of human activities from long‐time videos
Author:
Affiliation:
1. STARS TeamINRIA Sophia Antipolis – Mediterranee2004 Route des Lucioles, BP 93Sophia AntipolisFrance
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2014.0311
Reference35 articles.
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3. Pirsiavash H. Ramanan D.: ‘Detecting activities of daily living in first‐person camera views’.IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2012 pp.2847–2854
4. Recognizing human actions: a local SVM approach
5. Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis
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