Title :
Automated bobbing and phase analysis to measure walking entrainment to music
Author :
Lopez-Mendez, A. ; Westling, C.E.I. ; Emonet, R. ; Easteal, M. ; Lavia, L. ; Witchel, H.J. ; Odobez, Jean-Marc
Author_Institution :
Fezoo Labs. S.L., Spain
Abstract :
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.
Keywords :
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; Cameras; Estimation; Foot; Legged locomotion; Robustness; Surveillance; Tracking; bobbing estimation; entrainment to music; gait; tracking;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025850