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Based on the canonical correlation analysis (CCA) and its extended algorithms, an improved kernelized discriminative canonical correlation analysis (KDCCA) was proposed in this paper. Compared with the existing KDCCA, there were two improvements. Firstly, when the kernel method was added, by improving the optimization objective function, the correlation between the final canonical correlation characteristics...
The standard particle filter usually fails in the scene of small system noise or weak dynamic models. The robustness of majority tracking algorithm is not high due to using only a single target feature. An efficient multi-feature fusion tracking method was proposed. The article presents the integration of color distributions into kernel particle filtering(KPF) framework, which has typically been used...
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