Trajectory-based handball video understanding
(Trajektorienbasiertes Handball-Videoverständnis)
This paper presents a content-based approach for understanding handball videos. Tracked players are characterized by their 2D trajectories in the court plane. The trajectories and their interactions are used to model visual semantics, i.e., the observed activity phases. To this end, hierarchical parallel semi-Markov models (HPaSMMs) are computed in order to take into account the temporal causalities of object motions. Players motions are characterized using velocity informations while their interactions are described by the distances between trajectories. We have evaluated our method on real video sequences, and have favorably compared with another method, i.e., hierarchical parallel hidden Markov models (HPaHMMs).
© Copyright 2009 CIVR '09: Proceedings of the ACM International Conference on Image and Video Retrieval. Veröffentlicht von ACM. Alle Rechte vorbehalten.
Schlagworte: | Handball Bewegung Sportler Wettkampf Analyse Untersuchungsmethode Methode Bewegungsschnelligkeit Geschwindigkeit |
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Notationen: | Spielsportarten Naturwissenschaften und Technik |
Tagging: | Markov Ketten |
DOI: | 10.1145/1646396.1646447 |
Veröffentlicht in: | CIVR '09: Proceedings of the ACM International Conference on Image and Video Retrieval |
Veröffentlicht: |
ACM
2009
|
Jahrgang: | 43 |
Seiten: | 1-8 |
Dokumentenarten: | Kongressband, Tagungsbericht Buch |
Sprache: | Englisch |
Level: | hoch |