This paper aims at employing scene classification in real-time to the two-class problem of separating city and rural scenes in images constructed from an infrared sensor that is mounted at the front of a vehicle. The 'Bag of Words' algorithm for image representation has been evaluated and compared to two low-level methods 'Edge Direction Histograms', and 'Invariant Moments'. A method for fast scene classification using the Bag of Words algorithm is proposed using a grey patch based algorithm for image element representation and a modified floating search for visual word selection. It is also shown empirically that floating search for visual word selection outperforms the currently popular k-means clustering for small vocabulary sizes.
Real-time road scene classification using infrared images
2010
6 Seiten, 17 Quellen
Aufsatz (Konferenz)
Englisch
A Real Time Infrared Scene Simulator
British Library Online Contents | 1996
|Real time road signs classification
IEEE | 2008
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