%0 Conference Proceedings
%T Bag-of-Tracklets for Person Tracking in Life-Logging Data
%A Maedeh Aghaei
%A Petia Radeva
%B 17th International Conference of the Catalan Association for Artificial Intelligence
%D 2014
%V 269
%@ 978-1-61499-451-0
%F Maedeh Aghaei2014
%O MILAB
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2607), last updated on Tue, 15 Dec 2015 13:56:08 +0100
%X By increasing popularity of wearable cameras, life-logging data analysis is becoming more and more important and useful to derive significant events out of this substantial collection of images. In this study, we introduce a new tracking method applied to visual life-logging, called bag-of-tracklets, which is based on detecting, localizing and tracking of people. Given the low spatial and temporal resolution of the image data, our model generates and groups tracklets in a unsupervised framework and extracts image sequences of person appearance according to a similarity score of the bag-of-tracklets. The model output is a meaningful sequence of events expressing human appearance and tracking them in life-logging data. The achieved results prove the robustness of our model in terms of efficiency and accuracy despite the low spatial and temporal resolution of the data.
%U http://dx.doi.org/10.3233/978-1-61499-452-7-35
%P 35-44