A New Video Tracking Algorithm Based on Multi-Complementary Features Fusion

Xibei Gongye Daxue Xuebao

关键词: correlation filters;    object tracking;    contour features;    adaptive weights;    feature fusion;   

DOI  :  10.1051/jnwpu/20193720323

来源: DOAJ

【 摘 要 】

In order to make full use of the diversity of sample information in the tracking process and improve the generalization ability of the tracker, this paper integrates the object model prediction results on the basis of the Staple algorithm, and applies weighted bands to the simple linearity of different predictive response results in the algorithm. To the uncertainties, a new adaptive response factor graph fusion method with weight coefficients is proposed, which effectively improves the reliability of the video target tracking algorithm. Theoretical analysis and experimental simulation show that the proposed algorithm is more accurate and robust than the classical Staple algorithm, and it maintains high real-time performance.

【 授权许可】

Unknown