Human motion analysis is an increasingly important active research domain with various applications in surveillance, human-machine interaction and human posture analysis. The recent developments in depth sensor technology, especially with the release of the Kinect device, have attracted significant attention to the question of how to take advantage of this technology in order to achieve accurate motion tracking and action detection in marker-less approaches. In this paper, we review the benefits and limitations deriving from the adoption of structured light-based depth sensors in human motion analysis applications. Surveying the relevant literature, we have identified in calibration, interference and bias correction the challenges to tackle for an effective adoption of multi-Kinect systems to improve the visual analysis of human movement. © 2012 Springer-Verlag.
CITATION STYLE
Essmaeel, K., Gallo, L., Damiani, E., De Pietro, G., & Dipandà, A. (2012). Multiple structured light-based depth sensors for human motion analysis: A review. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7657 LNCS, pp. 240–247). https://doi.org/10.1007/978-3-642-35395-6_33
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