Place Recognition via 3D Modeling for Personal Activity Lifelog Using Wearable Camera

Wannous, Hazem; Dovgalecs, Vladislavs; Megret, Rémi

doi:10.1007/978-3-642-27355-1_24

Cited by 5 publications

(2 citation statements)

References 19 publications

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“…Additionally, they proposed a combined FOV localisation system for simultaneous localisation of multiple users of wearable devices. Wannous et al in [95] also proposed a methodology for localisation and actionrelated event recognition. They used a shoulder-mounted video camera to acquire images of daily indoor living (e.g.…”

Section: B Where? Scene Understandingmentioning

confidence: 99%

Toward Storytelling From Visual Lifelogging: An Overview

Bolaños

Dimiccoli

Radeva

2017

IEEE Trans. Human-Mach. Syst.

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Abstract-Visual lifelogging consists of acquiring images that capture the daily experiences of the user by wearing a camera over a long period of time. The pictures taken offer considerable potential for knowledge mining concerning how people live their lives, hence, they open up new opportunities for many potential applications in fields including healthcare, security, leisure and the quantified self. However, automatically building a story from a huge collection of unstructured egocentric data presents major challenges. This paper provides a thorough review of advances made so far in egocentric data analysis, and in view of the current state of the art, indicates new lines of research to move us towards storytelling from visual lifelogging.

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Section: B Where? Scene Understandingmentioning

confidence: 99%

Toward Storytelling From Visual Lifelogging: An Overview

Bolaños

Dimiccoli

Radeva

2017

IEEE Trans. Human-Mach. Syst.

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“…It presents the originality that the velocity is not measured directly, although it is included and estimated as part of the state. It is designed as a fundamental inference module to be used in applications where only the absolute pose can be measured, such as for localization and tracking from a wearable camera that is addressed in the Dem@Care project 2 [47].…”

Section: Application Of the Cd-lg-ekf To A Camera Pose Filtering Problemmentioning

confidence: 99%

Continuous-Discrete Extended Kalman Filter on Matrix Lie Groups Using Concentrated Gaussian Distributions

et al. 2014

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International audienceIn this paper we generalize the Continuous-Discrete Extended Kalman Filter (CD-EKF) to the case where the state and the observations evolve on connected unimodular matrix Lie groups. We propose a new assumed density filter called Continuous-Discrete Extended Kalman Filter on Lie Groups (CD-LG-EKF). It is built upon a geometrically meaningful modeling of the concentrated Gaussian distribution on Lie Groups. Such a distribution is parametrized by a mean and a co-variance matrix defined on the Lie group and in its associated Lie algebra respectively. Our formalism yields tractable equations for both non-linear continuous time propagation and discrete update of the distribution parameters under the assumption that the posterior distribution of the state is a concentrated Gaussian. As a side effect, we contribute to the derivation of the first and second order differential of the matrix Lie group logarithm using left connection. We also show that the CD-LG-EKF reduces to the usual CD-EKF if the state and the observations evolve on Euclidean spaces. Our approach leads to a systematic methodology for the design of filters, which is illustrated by the application to a camera pose filtering problem with observations on Lie group. In this application, the CD-LG-EKF significantly outperforms two constrained non-linear filters (one based on a linearization technique and the other on the unscented transform) applied on the embedding space of the Lie group

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Image quality assessment in first-person videos

Chen

Reibman

2018

Journal of Visual Communication and Image Representation

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Place Recognition via 3D Modeling for Personal Activity Lifelog Using Wearable Camera

Cited by 5 publications

References 19 publications

Toward Storytelling From Visual Lifelogging: An Overview

Toward Storytelling From Visual Lifelogging: An Overview

Continuous-Discrete Extended Kalman Filter on Matrix Lie Groups Using Concentrated Gaussian Distributions

Image quality assessment in first-person videos

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