This article proposes a novel method for object tracking using active basis model. Active basis model has the
strong competitive ability of object representation, especially the ability of modeling the sketch variables of the
image. And each basis element of active basis model has a certain freedom because it can shift its location or
orientation or both within a little range, then such tuning of basis elements can adjust to the variation of the
object of interest from frame to frame. We have done some experiments on the video sets which just have only
one or two moving objects in each frame for avoiding any other interference, in evidence, the tracker based on
active basis model can perfectly capture the object of interest accurately from frame to frame, despite of part
occlusion. The disadvantage of out method is that the computational complexity of Gabor wavelet is high, so
this method cannot implement the real-time tracking currently.
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