Abstract | ||
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In this paper, we investigate the influence of music on human walking behaviors in a public setting monitored by surveillance cameras. To this end, we propose a novel algorithm to characterize the frequency and phase of the walk. It relies on a human-by-detection tracking framework, along with a robust fitting of the human head bobbing motion. Preliminary experiments conducted on more than 100 tracks show that an accuracy greater than 85% for foot strike estimation can be achieved, suggesting that large scale analysis is at reach for finer music/walking behavior relationship studies. |
Year | DOI | Venue |
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2014 | 10.1109/ICIP.2014.7025850 | Image Processing |
Keywords | Field | DocType |
estimation theory,gait analysis,image motion analysis,music,video surveillance,automated bobbing analysis,foot strike estimation,human head bobbing motion,human walking behavior,human-by-detection tracking framework,music-walking behavior relationship,phase analysis,surveillance camera,walking entrainment measurement,walking frequency,walking phase,bobbing estimation,entrainment to music,gait,tracking | Scale analysis (statistics),Computer vision,Pattern recognition,Gait,Computer science,Entrainment (chronobiology),Artificial intelligence,Phase analysis,Human head | Conference |
ISSN | Citations | PageRank |
1522-4880 | 0 | 0.34 |
References | Authors | |
10 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Adolfo López-Mendez | 1 | 39 | 2.90 |
Carina Westling | 2 | 7 | 4.26 |
Rémi Emonet | 3 | 61 | 7.60 |
Easteal, M. | 4 | 0 | 0.34 |
L. Lavia | 5 | 0 | 0.34 |
Harry J. Witchel | 6 | 10 | 5.65 |
Jean-marc Odobez | 7 | 1641 | 110.52 |
Lopez-Mendez, A. | 8 | 0 | 0.34 |