کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
489569 704581 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Human Action Recognition based on Spectral Domain Features
ترجمه فارسی عنوان
شناخت عمل انسان براساس دامنه طیفی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی

In this paper, we propose a novel approach towards human action recognition using spectral domain feature extraction. Action representations can be considered as image templates, which can be useful for understanding various actions or gestures as well as for recognition and analysis. An action recognition scheme is developed based on extracting spectral features from the frames of a video sequence using the two-dimensional discrete Fourier transform (2D-DFT). The proposed spectral feature selection algorithm offers the advantage of very low feature dimensionality and thus lower computational cost. We show that using frequency domain features enhances the distinguishability of different actions, resulting in high within-class compactness and between-class separability of the extracted features, while certain undesirable phenomena, such as camera movement and change in camera distance, are less severe in the frequency domain. Principal component analysis is performed to further reduce the dimensionality of the feature space. Experimental results on a benchmark action recognition database confirm that our proposed method offers not only computational savings but also a high degree of accuracy.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 60, 2015, Pages 430-437