Object tracking by using active basis model

Bin Lai; Deng-Yi Zhang; Cheng-Zhang Qu

doi:10.1117/12.833685

30 October 2009 Object tracking by using active basis model

Bin Lai, Deng-Yi Zhang, Cheng-Zhang Qu

Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 749620 (2009) https://doi.org/10.1117/12.833685
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

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.

Citation Download Citation

Bin Lai, Deng-Yi Zhang, and Cheng-Zhang Qu "Object tracking by using active basis model", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 749620 (30 October 2009); https://doi.org/10.1117/12.833685

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