Geo-contextual priors for attentive urban object recognition.
Katrin AmlacherGerald FritzPatrick Morris LuleyAlexander AlmerLucas PalettaPublished in: ICRA (2009)
Keyphrases
- object recognition
- contextual information
- man made
- urban areas
- computer vision
- spatial analysis
- d objects
- object detection
- image representation
- constrained search
- image features
- object categorization
- object categories
- bayesian framework
- image understanding
- context sensitive
- natural images
- visual attention
- transport network
- public transport
- template matching
- prior information
- object classification
- scene classification
- keypoints
- geographic information
- urban planning
- learned from training data
- maximum a posteriori
- parametric models
- prior probabilities
- prior model
- markov random field
- public space
- visual object recognition
- prior knowledge