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Spatial Cognition from Egocentric Video: Out of Sight, Not Out of Mind

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

7 Citations (Scopus)
86 Downloads (Pure)

Abstract

As humans move around, performing their daily tasks, they are able to recall where they have positioned objects in their environment, even if these objects are currently out of their sight. In this paper, we aim to mimic this spatial cognition ability. We thus formulate the task of Out of Sight, Not Out of Mind - 3D tracking active objects using observations captured through an egocentric camera. We introduce a simple but effective approach to address this challenging problem, called Lift, Match, and Keep (LMK). LMK lifts partial 2D observations to 3D world coordinates, matches them over time using visual appearance, 3D location and interactions to form object tracks, and keeps these object tracks even when they go out-of-view of the camera. We benchmark LMK on 100 long videos from EPIC-KITCHENS. Our results demonstrate that spatial cognition is critical for correctly locating objects over short and long time scales. E.g., for one long egocentric video, we estimate the 3D location of 50 active objects. After 120 seconds, 57% of the objects are correctly localised by LMK, compared to just 33% by a recent 3D method for egocentric videos and 17% by a general 2D tracking method.
Original languageEnglish
Title of host publication2025 International Conference on 3D Vision (3DV)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1211-1221
Number of pages11
ISBN (Electronic)9798331538514
ISBN (Print)9798331538521
DOIs
Publication statusPublished - 25 Aug 2025
EventInternational Conference on 3D Vision: 3DV - Singapore, Singapore, Singapore
Duration: 25 Mar 202528 Mar 2025
https://3dvconf.github.io/2025/

Publication series

NameInternational Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)
PublisherIEEE
ISSN (Print)2378-3826
ISSN (Electronic)2475-7888

Conference

ConferenceInternational Conference on 3D Vision
Country/TerritorySingapore
CitySingapore
Period25/03/2528/03/25
Internet address

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

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