Sciweavers

Share
ICIP
2008
IEEE

Activity-based temporal segmentation for videos of interacting objects using invariant trajectory features

9 years 4 months ago
Activity-based temporal segmentation for videos of interacting objects using invariant trajectory features
This paper presents a content-based approach for temporal segmentation of videos. Tracked objects are characterized by their 2D trajectories which are used in a meaningful way to model visual semantics, i.e., the observed single video object activities and their interactions. To this end, hierarchical Semi-Markov Chains (SMCs) are computed in order to take into account the temporal causalities of object motions. Object movements are characterized using local invariant features computed from the curvature and velocity values while interactions are represented by the temporal evolution of the distance between objects. We have evaluated our method on squash video sequences, and have favorably compared with other methods including Hidden Markov Models (HMMs).
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L
Added 20 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2008
Where ICIP
Authors Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre Le Cadre
Comments (0)
books