This article presents a novel people-tracking approach to cope with partial occlusions caused by scene objects. Instead of predicting when and where the occlusions will occur, a part-based model is used to model the p...This article presents a novel people-tracking approach to cope with partial occlusions caused by scene objects. Instead of predicting when and where the occlusions will occur, a part-based model is used to model the pixel distribution of the target body under occlusion. The subdivided patches corresponding to a template image will be tracked independently using Markov chain Monte Carlo （MCMC） method. A set of voting-based rules is established for the patch-tracking result to verify if the target is indeed located at the estimated position. Experiments show the effectiveness of the proposed method.展开更多
Facing the current situation of global energy consumption and increasingly serious environmental pollution, countries have accelerated the construction of new energy systems and put forward the "3060" double...Facing the current situation of global energy consumption and increasingly serious environmental pollution, countries have accelerated the construction of new energy systems and put forward the "3060" double-carbon target. Photovoltaic power generation attracts peoples attention, and it has the advantages of renewable and pollution-free, and the installed capacity of photovoltaic is doubled every year. In photovoltaic systems, the common factor that affects the electric quantity is partial occlusion. Different local occlusion affects the I-U output of components, so the traditional MPPT tracking algorithm of series inverter cant reach the maximum output of the array, and is only limited to the local optimal output. Therefore, this paper focuses on the nonlinear characteristics of photovoltaic array output, and optimizes the algorithm based on the conventional particle swarm optimization algorithm. The sim ulation model of photovoltaic sequence used in Hainan Tunchang Xinye Power Station is established by MATLAB/Simulink software. By using the disturbance observation method used by the inverter of the power station and the optimization algorithm particle swarm optimization proposed this time, the maximum power tracking of photovoltaic is analyzed under the conditions of uniform illumination and local shadow, and the peak value of the output characteristic curve of the two algorithms when adjusting the maximum power tracking of photovoltaic sequence is verified.展开更多
基金supported by the National Natural Science Foundation of China(60772114)
文摘This article presents a novel people-tracking approach to cope with partial occlusions caused by scene objects. Instead of predicting when and where the occlusions will occur, a part-based model is used to model the pixel distribution of the target body under occlusion. The subdivided patches corresponding to a template image will be tracked independently using Markov chain Monte Carlo （MCMC） method. A set of voting-based rules is established for the patch-tracking result to verify if the target is indeed located at the estimated position. Experiments show the effectiveness of the proposed method.
文摘Facing the current situation of global energy consumption and increasingly serious environmental pollution, countries have accelerated the construction of new energy systems and put forward the "3060" double-carbon target. Photovoltaic power generation attracts peoples attention, and it has the advantages of renewable and pollution-free, and the installed capacity of photovoltaic is doubled every year. In photovoltaic systems, the common factor that affects the electric quantity is partial occlusion. Different local occlusion affects the I-U output of components, so the traditional MPPT tracking algorithm of series inverter cant reach the maximum output of the array, and is only limited to the local optimal output. Therefore, this paper focuses on the nonlinear characteristics of photovoltaic array output, and optimizes the algorithm based on the conventional particle swarm optimization algorithm. The sim ulation model of photovoltaic sequence used in Hainan Tunchang Xinye Power Station is established by MATLAB/Simulink software. By using the disturbance observation method used by the inverter of the power station and the optimization algorithm particle swarm optimization proposed this time, the maximum power tracking of photovoltaic is analyzed under the conditions of uniform illumination and local shadow, and the peak value of the output characteristic curve of the two algorithms when adjusting the maximum power tracking of photovoltaic sequence is verified.
