NDLI: Dynamic Texture Recognition by Spatio-Temporal Multiresolution Histograms

Content Provider	IEEE Xplore Digital Library
Author	Lu, Zongqing Xie, Weixin Pei, Jihong Huang, JianJun
Copyright Year	2005
Description	Author affiliation: Shenzhen University, China (Pei, Jihong; Huang, JianJun) \|\| Xidian University, China (Lu, Zongqing; Xie, Weixin)
Abstract	Dynamic textures are sequences of images of moving scenes that exhibit certain stationarity properties in time, for example, sea-waves, smoke, foliage, whirlwind etc. This work proposed a novel characterization of dynamic textures that poses the problems of recognizing. A method by spatio-temporal multiresolution histogram based on velocity and acceleration fields is presented. The spatio-temporal multiresolution histogram has many desirable properties including simple computing, spatial efficiency, robustness to noise and ability of encoding spatio-temporal dynamic information, which can reliably capture and represent the motion properties of different image sequences. Velocity and acceleration fields of different spatio-temporal resolution image sequences are accurately estimated by structure tensor method. We describe a simple matching algorithm based on multiresolution histogram, which measure difference between two sequences.
Starting Page	241
Ending Page	246
File Size	1493883
Page Count	6
File Format	PDF
ISBN	0769522718
DOI	10.1109/ACVMOT.2005.44
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-01-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Spatial resolution Acceleration Image resolution Image sequences Layout Character recognition Noise robustness Image coding Tensile stress
Content Type	Text
Resource Type	Article

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