Paper Info
Title
Motion detection and tracking using space-time interest points
Abstract
Space-Time Interest Points (STIP) are among all the interesting features which can be extracted from videos; they are simple, robust and they allow a good characterization of a set of regions of interest corresponding to moving objects in a three-dimensional observed scene. In this paper, we show how the resulting features often reflect interesting events that can be used for a compact representation of video data as well as for tracking. For a good detection of moving objects, we propose to apply the algorithm of the detection of spatiotemporal interest points on both components of the decomposition which is based on a partial differential equation (PDE): a geometric structure component and a texture component. Proposed results are obtained from very different types of videos, namely sport videos and animation movies.
Year
DOI
Venue
2013
10.1109/AICCSA.2013.6616419
Computer Systems and Applications
Keywords
Field
DocType
computational geometry,computer animation,data structures,feature extraction,image motion analysis,image representation,image texture,object detection,object tracking,partial differential equations,sport,video signal processing,3D observed scene,PDE,STIP,animation movies,compact video data representation,feature extraction,geometric structure component,motion detection,motion tracking,partial differential equation,regions-of-interest,space-time interest points,spatiotemporal interest point detection,sport videos,texture component,Motion Detection,Space-Time Interest Points,Structure-Texture Image Decomposition,Tracking
Object detection,Data structure,Computer vision,Motion detection,Image texture,Feature extraction,Video tracking,Animation,Artificial intelligence,Computer animation,Mathematics
Conference
ISSN
Citations 
PageRank 
2161-5322
1
0.35
References 
Authors
14
2
Name
Order
Citations
PageRank
Bellamine, I.110.35
Hamid Tairi25717.49