---
abstract: |-
  Object segmentation is a fundamental problem
  in computer vision and a powerful resource for
  development. This paper presents three embodied approaches to the visual segmentation of objects. Each approach to segmentation is aided
  by the presence of a hand or arm in the proximity of the object to be segmented. The first
  approach is suitable for a robotic system, where
  the robot can use its arm to evoke object motion. The second method operates on a wearable system, viewing the world from a human's
  perspective, with instrumentation to help detect
  and segment objects that are held in the wearer's
  hand. The third method operates when observing
  a human teacher, locating periodic motion (finger/arm/object waving or tapping) and using it
  as a seed for segmentation. We show that object segmentation can serve as a key resource for
  development by demonstrating methods that exploit high-quality object segmentations to develop
  both low-level vision capabilities (specialized feature detectors) and high-level vision capabilities
  (object recognition and localization).
altloc:
  - http://www.lucs.lu.se/ftp/pub/LUCS_Studies/LUCS101/Arsenio.pdf
chapter: ~
commentary: ~
commref: ~
confdates: 'August 4-5, 2003'
conference: 'Third International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems'
confloc: 'Boston, MA, USA'
contact_email: ~
creators_id: []
creators_name:
  - family: Arsenio
    given: Artur
    honourific: ''
    lineage: ''
  - family: Fitzpatrick
    given: Paul
    honourific: ''
    lineage: ''
  - family: Kemp
    given: Charles C.
    honourific: ''
    lineage: ''
  - family: Metta
    given: Giorgio
    honourific: ''
    lineage: ''
date: 2003
date_type: published
datestamp: 2004-02-12
department: ~
dir: disk0/00/00/33/29
edit_lock_since: ~
edit_lock_until: ~
edit_lock_user: ~
editors_id: []
editors_name:
  - family: Prince
    given: Christopher G.
    honourific: ''
    lineage: ''
  - family: Berthouze
    given: Luc
    honourific: ''
    lineage: ''
  - family: Kozima
    given: Hideki
    honourific: ''
    lineage: ''
  - family: Bullock
    given: Daniel
    honourific: ''
    lineage: ''
  - family: Stojanov
    given: Georgi
    honourific: ''
    lineage: ''
  - family: Balkenius
    given: Christian
    honourific: ''
    lineage: ''
eprint_status: archive
eprintid: 3329
fileinfo: /style/images/fileicons/application_pdf.png;/3329/1/Arsenio.pdf
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'object segmentation, computer vision, robotic system, wearable system'
lastmod: 2011-03-11 08:55:25
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 49-56
pubdom: TRUE
publication: ~
publisher: Lund University Cognitive Studies
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:50:03
subjects:
  - comp-sci-mach-vis
  - comp-sci-art-intel
  - comp-sci-robot
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: 'The Whole World in Your Hand: Active and Interactive Segmentation'
type: confpaper
userid: 3507
volume: 101