Slow feature subspace: A video representation based on slow feature analysis for action recognition

This paper proposes a new video representation for subspace-based action recognition. Traditional subspace-based methods represent a video as a subspace by applying principal component analysis (PCA) to its frames. However, this subspace might lead to an imprecise representation of actions, as PCA l...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Machine Learning with Applications
المؤلفون الرئيسيون:	Suzana Rita Alves Beleza, Erica K. Shimomoto, Lincon S. Souza, Kazuhiro Fukui
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Elsevier 2023-12-01
الموضوعات:	Human action recognition Slow feature analysis Subspace-based methods
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S2666827023000464