This paper presents a method for recognizing human actions in a multi-camera setup. The proposed method automatically extracts significant points on the human body, without the need of artificial markers. A sophisticated appearance-based tracking able to cope with occlusions is exploited to extract a probability map for each moving object. A segmentation technique based on mixture of Gaussians is then employed to extract and track significant points on this map, corresponding to significant regions on the human silhouette. The point tracking produces a set of 3D trajectories that are compared with other trajectories by means of global alignment and dynamic programming techniques. Preliminary experiments showed the potentiality of the proposed approach.

A Markerless Approach for Consistent Action Recognition in a Multi-camera System / Calderara, Simone; Prati, Andrea; Cucchiara, Rita. - ELETTRONICO. - (2008), pp. 1-8. (Intervento presentato al convegno 2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008 tenutosi a Palo Alto, CA, usa nel 7-10 September 2008) [10.1109/ICDSC.2008.4635691].

A Markerless Approach for Consistent Action Recognition in a Multi-camera System

CALDERARA, Simone;PRATI, Andrea;CUCCHIARA, Rita
2008

Abstract

This paper presents a method for recognizing human actions in a multi-camera setup. The proposed method automatically extracts significant points on the human body, without the need of artificial markers. A sophisticated appearance-based tracking able to cope with occlusions is exploited to extract a probability map for each moving object. A segmentation technique based on mixture of Gaussians is then employed to extract and track significant points on this map, corresponding to significant regions on the human silhouette. The point tracking produces a set of 3D trajectories that are compared with other trajectories by means of global alignment and dynamic programming techniques. Preliminary experiments showed the potentiality of the proposed approach.
2008
2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008
Palo Alto, CA, usa
7-10 September 2008
1
8
Calderara, Simone; Prati, Andrea; Cucchiara, Rita
A Markerless Approach for Consistent Action Recognition in a Multi-camera System / Calderara, Simone; Prati, Andrea; Cucchiara, Rita. - ELETTRONICO. - (2008), pp. 1-8. (Intervento presentato al convegno 2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008 tenutosi a Palo Alto, CA, usa nel 7-10 September 2008) [10.1109/ICDSC.2008.4635691].
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/589848
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 0
social impact