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Saliency detection is an important topic for the researches on visual attention selective computation model. This paper aims at the conflict between the local saliency detection and the huge computational cost, and proposes an object-based multi-feature competitive model for visual saliency detection. The proposed model is based on the biologically motivated color-antagonistic model and is advanced...
Human bipedal walking is symmetrical, stable and efficiency optimal. To clarify the essential relationship in human gait, accelerometers and rate gyroscopes are mounted on waist and lower extremities of subject to acquire kinematics information during walking. By employing Principal Component Analysis (PCA), kinematics signals of one side are reconstructed using that of opposite side. The reconstructed...
The effective de-noising of gait kinematic signals is the prerequisite and guarantee for correct recognition and diagnose. Traditional Fourier transform and wavelet analysis can introduce the additional disturbance during de-noising process named pseudo-Gibbs phenomenon. In this paper, translation invariance wavelet de-noising method is proposed to process the kinematics information acquired from...
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