Towards Unsupervised Familiar Scene Recognition in Egocentric Videos

05/10/2019
by   Estefania Talavera, et al.
6

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.

READ FULL TEXT

page 2

page 4

page 5

page 6

page 7

page 8

page 9

page 10

research
07/15/2020

Few-shot Scene-adaptive Anomaly Detection

We address the problem of anomaly detection in videos. The goal is to id...
research
03/29/2021

Tracking Based Semi-Automatic Annotation for Scene Text Videos

Recently, video scene text detection has received increasing attention d...
research
09/08/2016

Generating Videos with Scene Dynamics

We capitalize on large amounts of unlabeled video in order to learn a mo...
research
05/17/2013

Machine learning on images using a string-distance

We present a new method for image feature-extraction which is based on r...
research
12/03/2018

Feature Extraction for Temporal Signal Recognition: An Overview

Due to the huge progress of the recording devices, data from heterogeneo...
research
06/12/2018

Fast forwarding Egocentric Videos by Listening and Watching

The remarkable technological advance in well-equipped wearable devices i...

Please sign up or login with your details

Forgot password? Click here to reset