کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
410949 | 679172 | 2011 | 12 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Transform based spatio-temporal descriptors for human action recognition Transform based spatio-temporal descriptors for human action recognition](/preview/png/410949.png)
Classic transformation methods have been widely and efficiently used in image processing areas, such as image de-noising, image segmentation, feature detection, and compression. Based on their compact signal and image representation ability, we apply the transform based techniques on the video recognition area to extract discriminative information from each given video sequence, and use the transformed coefficients as descriptors for representing and recognizing human actions in video sequences. We validate our proposed methods on the KTH and the Hollywood datasets, which have been extensively studied by a lot of researchers. The proposed descriptors, especially the wavelet transform based descriptor, yield promising results on action recognition.
Journal: Neurocomputing - Volume 74, Issue 6, 15 February 2011, Pages 962–973