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Detecting Abandoned Objects With a Moving Camera

Hui Kong 1 Jean-yves Audibert 1, 2, 3 Jean Ponce 1 
1 WILLOW - Models of visual object recognition and scene understanding
DI-ENS - Département d'informatique - ENS Paris, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR8548
2 imagine [Marne-la-Vallée]
LIGM - Laboratoire d'Informatique Gaspard-Monge, CSTB - Centre Scientifique et Technique du Bâtiment, ENPC - École des Ponts ParisTech
Abstract : This paper presents a novel framework for detecting nonflat abandoned objects by matching a reference and a target video sequences. The reference video is taken by a moving camera when there is no suspicious object in the scene. The target video is taken by a camera following the same route and may contain extra objects. The objective is to find these objects. GPS information is used to roughly align the two videos and find the corresponding frame pairs. Based upon the GPS alignment, four simple but effective ideas are proposed to achieve the objective: an intersequence geometric alignment based upon homographies, which is computed by a modified RANSAC, to find all possible suspicious areas, an intrasequence geometric alignment to remove false alarms caused by high objects, a local appearance comparison between two aligned intrasequence frames to remove false alarms in flat areas, and a temporal filtering step to confirm the existence of suspicious objects. Experiments on fifteen pairs of videos show the promise of the proposed method.
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Soumis le : mercredi 21 décembre 2011 - 17:35:16
Dernière modification le : jeudi 17 mars 2022 - 10:08:39



Hui Kong, Jean-yves Audibert, Jean Ponce. Detecting Abandoned Objects With a Moving Camera. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2010, 19 (8), pp.2201-2210. ⟨10.1109/TIP.2010.2045714⟩. ⟨hal-00654394⟩



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