| Summary: | 碩士 === 國立交通大學 === 電機與控制工程系 === 91 === Detecting moving objects is one of the important research topics in computer vision. This thesis investigates how to obtain the information of moving objects from an image sequence. The research results can be applied to robot navigation, target tracking and image coding etc.
In this thesis a robust against noise method of the optical flow estimation is shown. The technique is based on the optical flow constraint, it analyses the intersection of optical flow constraint on velocity field then discarding the erroneous optical flow constraint. Appling the least squares method solves the constraint line equations. The optical flow estimation used to separate the target from the background. When the background moving smoothly or the moving objects occlude, the proposed algorithm is also tracking successful. In order to decrease the amount of calculation and the influence of noise, using the image pyramid pre-process.
From the experimental results, on both synthetic and real sequences, show clearly the proposed approach performs quite better on the accuracy of optical flow estimation. Several real videos are experimented: Under the assumption of the size and deformation of targets, proposed approach efficient tracking multi-target.
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