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CVIU
2006

Free viewpoint action recognition using motion history volumes

9 years 11 months ago
Free viewpoint action recognition using motion history volumes
Action recognition is an important and challenging topic in computer vision, with many important applications including video surveillance, automated cinematography and understanding of social interaction. Yet, most current work in gesture or action interpretation remains rooted in view-dependent representations. This paper introduces Motion History Volumes (MHV) as a free-viewpoint representation for human actions in the case of multiple calibrated, and background-subtracted, video cameras. We present algorithms for computing, aligning and comparing MHVs of different actions performed by different people in a variety of viewpoints. Alignment and comparisons are performed efficiently using Fourier transforms in cylindrical coordinates around the vertical axis. Results indicate that this representation can be used to learn and recognize basic human action classes, independently of gender, body size and viewpoint. Key words: action recognition, view invariance, volumetric reconstruction...
Daniel Weinland, Rémi Ronfard, Edmond Boyer
Added 11 Dec 2010
Updated 11 Dec 2010
Type Journal
Year 2006
Where CVIU
Authors Daniel Weinland, Rémi Ronfard, Edmond Boyer
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