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2009
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Object Tracking from Unstabilized Platforms by Particle Filtering with Embedded Camera Ego Motion

9 years 3 months ago
Object Tracking from Unstabilized Platforms by Particle Filtering with Embedded Camera Ego Motion
Visual tracking with moving cameras is a challenging task. The global motion induced by the moving camera moves the target object outside the expected search area, according to the object dynamics. The typical approach is to use a registration algorithm to compensate the camera motion. However, in situations involving several moving objects, and backgrounds highly affected by the aperture problem, image registration quality may be very low, decreasing dramatically the performance of the tracking. In this work, a novel approach is proposed to successfully tackle the tracking with moving cameras in complex situations, which involve several independent moving objects. The key idea is to compute several hypotheses for the camera motion, instead of estimating deterministically only one. These hypotheses are combined with the object dynamics in a Particle Filter framework to predict the most probable object locations. Then, each hypothetical object location is evaluated by the measurement m...
Carlos R. del-Blanco, Narciso N. García, Lu
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2009
Where AVSS
Authors Carlos R. del-Blanco, Narciso N. García, Luis Salgado, Fernando Jaureguizar
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