Target Tracking With Lucas-kanade Optical Flow And Particle Filters Through Affine Transforms And Occlusion

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Title: Target Tracking With Lucas-kanade Optical Flow And Particle Filters Through Affine Transforms And Occlusion
Author: Graham, Justin
Abstract: This paper investigates a hybrid approach derived from Lucas -Kanade optical flow tracking and particle filters that is capable of tracking objects through occlusion and affine transformations . This approach is inspired by aircraft sensor pod infrared and electro -optical tracking applications . For aircraft based sensors , it is important that a tracking system be able to track through rotations as the aircraft orbits a targeting area . It is also of use to handle cases where the target may be momentarily occluded due to other vehicles or obstacles in the area . The main focus of this investigation is to find a technique that performs well in these scenarios for a single tracked target . For tracking performance verification , the implementation of this algorithm is written in Matlab and is not intended to run in realtime , but could be easily extended to do so with minor runtime performance tweaks and native implementations of some of the more performance intensive functions .
URI: http : / /hdl .handle .net /10106 /5525
Date: 2011-03-03

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Target Tracking With Lucas-kanade Optical Flow And Particle Filters Through Affine Transforms And Occlusion. Available electronically from http : / /hdl .handle .net /10106 /5525 .

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