Context-based vision system for place and object recognition
- 1 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 273-280 vol.1
- https://doi.org/10.1109/iccv.2003.1238354
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. 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 contextual priors for object recognition (e.g., tables are more likely in an office than a street). We present a low-dimensional global image representation that provides relevant information for place recognition and categorization, and show 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 realtime feedback to the user.Keywords
This publication has 12 references indexed in Scilit:
- Qualitative image based localization in indoors environmentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Robust vision-based localization for mobile robots using an image retrieval system based on invariant featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- The steerable pyramid: a flexible architecture for multi-scale derivative computationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Statistical context priming for object detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Modeling the Shape of the Scene: A Holistic Representation of the Spatial EnvelopeInternational Journal of Computer Vision, 2001
- A Trainable System for Object DetectionInternational Journal of Computer Vision, 2000
- A Parametric Texture Model Based on Joint Statistics of Complex Wavelet CoefficientsInternational Journal of Computer Vision, 2000
- Visual contextual awareness in wearable computingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1998
- Visual learning and recognition of 3-d objects from appearanceInternational Journal of Computer Vision, 1995
- Context-based vision: recognizing objects using information from both 2D and 3D imageryIEEE Transactions on Pattern Analysis and Machine Intelligence, 1991