Overview of deep learning based pedestrian attribute recognition and re-identification.

Pedestrian attribute recognition (PAR) and re-identification (ReID) are important works in the area of computer vision, which are widely used in intelligent surveillance and are of great significance to the creation of smart life. The purpose of this article is to focus on organizing a review of ReID based on deep learning and analyze the associations between PAR and ReID. Firstly, we summarize the major ideas of Attribute-Assisted ReID and compare the differences in datasets and algorithmic concerns between the two areas. Secondly, we introduce a wide range of representative ReID methods. By analyzing some cutting-edge researches, we summarize their specific network structure, loss function design, and effective training tricks. Reference methods and solutions are provided for the main challenges of ReID, such as cloth-changing, domain adaptation, occlusion condition, resolution changes, etc. Finally, we conclude the performance and characteristics of the SOTA methods, obtain inspiration and prospects for future research directions, and demonstrate the effectiveness of Attribute-Assisted ReID.

Coordination optimization control of DC component and harmonics for grid-connected PV inverters.

Grid-connected inverters (GCIs) have been extensively adopted in distributed renewable energy systems. However, due to the asymmetrical gate-driving signals, imparities of the power semiconductors, and unbalanced grid voltage, etc., the grid current contains DC components which are detrimental to the grid. Furthermore, due to the nonlinear loads in the grid, the grid current may also contain harmonics. As a result, power quality of the grid current is degraded. IEEE 1547-2003 has specified the maximum DC component and harmonics contents of the grid current. In this paper, a repetitive controller (RC) for DC component compensation is put forward at first, then, a Discrete-Fourier-Transformation (DFT)-RC controller is presented for harmonic elimination. Considering DC components and harmonics may coexist in GCIs in utility, a coordination optimization control scheme utilizing Weight Factor Distribution Optimization Method (WFDOM) is introduced. The proposed method is realized by adaptively allocating the weight factors for DC suppression controller and harmonic elimination controller according to their relative deviations. Simulation and experimental results show the feasibility and correctness of the proposed method. The proposed method can applied to high power quality PV power generation system.