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Considering depth images are robust to illumination variations with complex backgrounds, the paper developed a real-time head tracking system with one Kinect camera. Distance transform is applied to pre-processed depth frames to further reduce the effect of appearance deformation. A multi-candidates fusion strategy is proposed for template updating that assures head representation robustness. Two-stage template matching is adopted for computational efficiency in the searching procedure. In addition, an early termination criterion for template updating is presented to reliably improve the tracking accuracy. Abundant experimental results on our depth database demonstrate that the proposed method performs favorably against state-of-the-art methods in terms of robustness, accuracy, and efficiency.

As the popularity of e-governance has been increased in recent years, the comparison about the implementation and results of e-governance in China and South Korea is conducted in this essay. Also the context and drivers for e-government development is analyzed. And the discussion of the digital era governance beyond the theory of new public reform is demonstrated.