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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Detecting Changes in Images of Street Scenes
verfasst von : Jana Košecka
Erschienen in: Computer Vision – ACCV 2012
Verlag: Springer Berlin Heidelberg
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In this paper we propose an novel algorithm for detecting changes in street scenes when the vehicle revisits sections of the street at different times. The proposed algorithm detects structural geometric changes, changes due to dynamically moving objects and as well as changes in the street appearance (e.g. posters put up) between two traversal times. We exploit geometric, appearance and semantic information to determine which areas have changed and formulate the problem as an optimal image labeling problem in the Markov Random Field framework. The approach is evaluated on street sequences from 3 different locations which were visited multiple times by the vehicle. The proposed method is applicable to monitoring and updating models and images of urban environments.