Recognition of the human actions by computer vision has become an active research area in recent years. Due to the speed and the high similarity of the actions, the current algorithms cannot get high recognition rate....Recognition of the human actions by computer vision has become an active research area in recent years. Due to the speed and the high similarity of the actions, the current algorithms cannot get high recognition rate. A new recognition method of the human action is proposed with the multi-scale directed depth motion maps(MsdDMMs) and Log-Gabor filters. According to the difference between the speed and time order of an action, MsdDMMs is proposed under the energy framework. Meanwhile, Log-Gabor is utilized to describe the texture details of MsdDMMs for the motion characteristics. It can easily satisfy both the texture characterization and the visual features of human eye. Furthermore, the collaborative representation is employed as action recognition by the classification. Experimental results show that the proposed algorithm, which is applied in the MSRAction3 D dataset and MSRGesture3 D dataset, can achieve the accuracy of 95.79% and 96.43% respectively. It also has higher accuracy than the existing algorithms, such as super normal vector(SNV), hierarchical recurrent neural network(Hierarchical RNN).展开更多
Some new design algorithms of Variable Coefficient Difference Equation (VCDE) filters for the processing of cardiac action potentials (AP) are proposed.These algorithms directly control the filters’ cutoff freque...Some new design algorithms of Variable Coefficient Difference Equation (VCDE) filters for the processing of cardiac action potentials (AP) are proposed.These algorithms directly control the filters’ cutoff frequency using the absolute errors between input and output signals,which results in accurate preservation of the upstroke.Computer simulation shows that this convenient,direct approach performs excellently in AP processing.With reference to conventional design methods,the VCDE algorithm can also be applied to the design of highpass,bandpass and bandstop variable cutoff frequency filters,as well as filters with other special functions,which represents a breakthrough in nonlinear filters design.展开更多
基金Sponsored by the Jiangsu Prospective Joint Research Project(Grant No.BY2016022-28)
文摘Recognition of the human actions by computer vision has become an active research area in recent years. Due to the speed and the high similarity of the actions, the current algorithms cannot get high recognition rate. A new recognition method of the human action is proposed with the multi-scale directed depth motion maps(MsdDMMs) and Log-Gabor filters. According to the difference between the speed and time order of an action, MsdDMMs is proposed under the energy framework. Meanwhile, Log-Gabor is utilized to describe the texture details of MsdDMMs for the motion characteristics. It can easily satisfy both the texture characterization and the visual features of human eye. Furthermore, the collaborative representation is employed as action recognition by the classification. Experimental results show that the proposed algorithm, which is applied in the MSRAction3 D dataset and MSRGesture3 D dataset, can achieve the accuracy of 95.79% and 96.43% respectively. It also has higher accuracy than the existing algorithms, such as super normal vector(SNV), hierarchical recurrent neural network(Hierarchical RNN).
文摘Some new design algorithms of Variable Coefficient Difference Equation (VCDE) filters for the processing of cardiac action potentials (AP) are proposed.These algorithms directly control the filters’ cutoff frequency using the absolute errors between input and output signals,which results in accurate preservation of the upstroke.Computer simulation shows that this convenient,direct approach performs excellently in AP processing.With reference to conventional design methods,the VCDE algorithm can also be applied to the design of highpass,bandpass and bandstop variable cutoff frequency filters,as well as filters with other special functions,which represents a breakthrough in nonlinear filters design.
