NDLI: A Comparative Study between Spatial-Temporal Orthogonal Moments for Volumes Description

Content Provider	IEEE Xplore Digital Library
Author	Boutaleb, M. Lassoued, I. Zagrouba, E.
Copyright Year	2012
Abstract	Object motion description in videos is one of the most active research topics in pattern recognition and computer vision. In this paper we study and compare Krawtchouk, Tchebytchev and Zernike spatial-temporal moments for volumes description. Indeed, reconstruction process of sequences volumes is elaborated to select the best moment descriptor for spatial-temporal volumes. Structural and temporal information of a video sequence can be captured by this moments. The first step of this method is to segment the video into volume space-time images. Then, all objects silhouettes will be extracted from these images. So this set will define the space-time form. The next step is to apply the orthogonal space-time moments on the resulting shape or just on the silhouette's defined patches around the interest detected points. This approach allows to define a descriptor for each video in the database. These descriptors will then rebuild the volumes of silhouettes with different orders to select the optimal for description process.
Starting Page	642
Ending Page	647
File Size	619375
Page Count	6
File Format	PDF
ISBN	9781467322799
e-ISBN	9781467322812
DOI	10.1109/iNCoS.2012.40
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-19
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reconstruction PSNR Shape Description Video Feature extraction Polynomials Robustness Moments Image reconstruction Videos
Content Type	Text
Resource Type	Article

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