A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Motion Segmentation using Visual and Bio-mechanical Features
2016
Proceedings of the 2016 ACM on Multimedia Conference - MM '16
Nowadays, egocentric wearable devices are continuously increasing their widespread among both the academic community and the general public. For this reason, methods capable of automatically segment the video based on the recorder motion patterns are gaining attention. These devices present the unique opportunity of both high quality video recordings and multimodal sensors readings. Significant efforts have been made in either analyzing the video stream recorded by these devices or the
doi:10.1145/2964284.2967266
dblp:conf/mm/AllettoSC16
fatcat:mbuq45423jbkjg3dxruihlrgji