Utilizing object-object and object-scene context when planning to find things

In this paper, our goal is to search for a novel object, where we have a prior map of the environment and knowledge of some of the objects in it, but no information about the location of the specific novel object. We develop a probabilistic model over possible object locations that utilizes object-o...

Full description

Bibliographic Details
Main Authors: Kollar, Thomas Fleming, Roy, Nicholas
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2011
Online Access:http://hdl.handle.net/1721.1/66603
https://orcid.org/0000-0002-8293-0492
_version_ 1826208443584741376
author Kollar, Thomas Fleming
Roy, Nicholas
author2 Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
author_facet Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Kollar, Thomas Fleming
Roy, Nicholas
author_sort Kollar, Thomas Fleming
collection MIT
description In this paper, our goal is to search for a novel object, where we have a prior map of the environment and knowledge of some of the objects in it, but no information about the location of the specific novel object. We develop a probabilistic model over possible object locations that utilizes object-object and object-scene context. This model can be queried for any of over 25,000 naturally occurring objects in the world and is trained from labeled data acquired from the captions of photos on the Flickr Website. We show that these simple models based on object co-occurrences perform surprisingly well at localizing arbitrary objects in an office setting. In addition, we show how to compute paths that minimize the expected distance to the query object and show that this approach performs better than a greedy approach. Finally, we give preliminary results for grounding our approach in object classifiers.
first_indexed 2024-09-23T14:05:50Z
format Article
id mit-1721.1/66603
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T14:05:50Z
publishDate 2011
publisher Institute of Electrical and Electronics Engineers
record_format dspace
spelling mit-1721.1/666032022-10-01T19:10:19Z Utilizing object-object and object-scene context when planning to find things Kollar, Thomas Fleming Roy, Nicholas Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Roy, Nicholas Kollar, Thomas Fleming Roy, Nicholas In this paper, our goal is to search for a novel object, where we have a prior map of the environment and knowledge of some of the objects in it, but no information about the location of the specific novel object. We develop a probabilistic model over possible object locations that utilizes object-object and object-scene context. This model can be queried for any of over 25,000 naturally occurring objects in the world and is trained from labeled data acquired from the captions of photos on the Flickr Website. We show that these simple models based on object co-occurrences perform surprisingly well at localizing arbitrary objects in an office setting. In addition, we show how to compute paths that minimize the expected distance to the query object and show that this approach performs better than a greedy approach. Finally, we give preliminary results for grounding our approach in object classifiers. United States. Office of Naval Research. Multidisciplinary University Research Initiative (N00014-07-1-0749) 2011-10-27T18:24:20Z 2011-10-27T18:24:20Z 2009-07 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-2788-8 http://hdl.handle.net/1721.1/66603 Kollar, T., and N. Roy. “Utilizing object-object and object-scene context when planning to find things.” IEEE, 2009. 2168-2173. Web. 27 Oct. 2011. © 2009 Institute of Electrical and Electronics Engineers https://orcid.org/0000-0002-8293-0492 en_US http://dx.doi.org/10.1109/ROBOT.2009.5152831 IEEE International Conference on Robotics and Automation, 2009 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE
spellingShingle Kollar, Thomas Fleming
Roy, Nicholas
Utilizing object-object and object-scene context when planning to find things
title Utilizing object-object and object-scene context when planning to find things
title_full Utilizing object-object and object-scene context when planning to find things
title_fullStr Utilizing object-object and object-scene context when planning to find things
title_full_unstemmed Utilizing object-object and object-scene context when planning to find things
title_short Utilizing object-object and object-scene context when planning to find things
title_sort utilizing object object and object scene context when planning to find things
url http://hdl.handle.net/1721.1/66603
https://orcid.org/0000-0002-8293-0492
work_keys_str_mv AT kollarthomasfleming utilizingobjectobjectandobjectscenecontextwhenplanningtofindthings
AT roynicholas utilizingobjectobjectandobjectscenecontextwhenplanningtofindthings