@article {10.3844/jcssp.2014.828.839,
article_type = {journal},
title = {MOTION DETECTION USING THE SPACE-TIME INTEREST POINTS},
author = {Bellamine, Insaf and Tairi, Hamid},
volume = {10},
number = {5},
year = {2014},
month = {Jan},
pages = {828-839},
doi = {10.3844/jcssp.2014.828.839},
url = {https://thescipub.com/abstract/jcssp.2014.828.839},
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 study, 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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}