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Context-Based Vision System for Place and Object Recognition (2003)

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by Antonio Torralba , Kevin P. Murphy , William T. Freeman , Mark Rubin
Citations:317 - 9 self
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BibTeX

@INPROCEEDINGS{Torralba03context-basedvision,
    author = {Antonio Torralba and Kevin P. Murphy and William T. Freeman and Mark Rubin},
    title = {Context-Based Vision System for Place and Object Recognition},
    booktitle = {},
    year = {2003},
    pages = {273--280}
}

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Abstract

While navigating in an environment, a vision system has' to be able to recognize where it is' and what the main objects' in the scene are. In this paper we present a context-based vision system for place and object recognition. The goal is' to identify familiar locations' (e.g., office 610, conference room 941, Main Street), to categorize new environments' (office, corridor, street) and to use that information to provide contextualpriors for object recognition (e.g., table, chair, car, computeD. We present a low-dimensional global image representation that provides relevant information for place recognition and categorization, and how such contextual information introduces strong priors' that simplify object recognition. We have trained the system to recognize over 60 locations (indoors' and outdoors') and to suggest the presence and locations' of more than 20 different object types. The algorithm has been integrated into a mobile system that provides real-time feedback to the user. 1This work was sponsored by the Air Force under Air Force Contract F19628-00-C-0002. Opinions, interpretations, conclusions, and recommendations are those of the author and are not necessarily endorsed by the U.S. Government.

Keyphrases

object recognition    context-based vision system    real-time feedback    main object    air force contract f19628-00-c-0002    familiar location    air force    new environment    u.s. government    mobile system    contextual information introduces strong prior    main street    low-dimensional global image representation    relevant information    conference room    place recognition    vision system    different object type   

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