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- W2123144675 abstract "This paper addresses the problem of object tracking by particle filter in ca tadioptric images. Whereas a large literature exists for traditional images, only a ver y few methods have been developed for catadioptric vision. We present two techniques to correctly deal with the strong distortion inherent to catadioptric images. First, we propose g enerating and diffusing the particles in the equivalent sphere space rather than in th e original 2D catadioptric image. It allows to handle the specific distance associated to the d istorted image in a general framework. Second, we use an adapted neighborhood to perform template matching by histogram comparison. It permits to compare templates quickly while using an active neighborhood for space-variant windows. An additional important feature of our system is that no interpolation is performed: we directly wor k on the original catadioptric image. Experimental results demonstrated the validity of the proposed approach." @default.
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- W2123144675 date "2009-01-01" @default.
- W2123144675 modified "2023-10-12" @default.
- W2123144675 title "Particle Filter Approach Adapted to Catadioptric Images for Target Tracking Application" @default.
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- W2123144675 doi "https://doi.org/10.5244/c.23.37" @default.
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