Abstract
In this paper, a method for location recognition in a visual lifelog is presented. Its motivation is the detection of activity related places within an indoor environment to facilitate navigation in the lifelog. It takes advantage of a camera mounted on the shoulder, which is primarily designed for the behavioral analysis of Instrumental Activities of Daily Living (IADL). The proposed approach provides an automatic indexing of the content stream, based on the presence in specific 3D places related to instrumental activites. It relies on 3D models of the places of interest that are built thanks to a lightweight semi-supervised approach. Performance evaluation on real data show the potential of this approach compared to 2D only recognition. © 2012 Springer-Verlag.
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CITATION STYLE
Wannous, H., Dovgalecs, V., Mégret, R., & Daoudi, M. (2012). Place recognition via 3D modeling for personal activity lifelog using wearable camera. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7131 LNCS, pp. 244–254). https://doi.org/10.1007/978-3-642-27355-1_24
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