چکیده (انگلیسی):

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.