Towards Unsupervised Familiar Scene Recognition in Egocentric Videos
This addresses the need for automatic analysis of large-scale lifelogging data, but appears incremental as it applies a known filter method to a specific domain.
The paper tackles the problem of recognizing familiar scenes in egocentric videos by proposing a method based on background pattern detection using automatically configurable COSFIRE filters, with experiments conducted on data from the Narrative Clip device.
Nowadays, there is an upsurge of interest in using lifelogging devices. Such devices generate huge amounts of image data; consequently, the need for automatic methods for analyzing and summarizing these data is drastically increasing. We present a new method for familiar scene recognition in egocentric videos, based on background pattern detection through automatically configurable COSFIRE filters. We present some experiments over egocentric data acquired with the Narrative Clip.