Pedestrian Attribute Recognition: A Survey

Recognizing pedestrian attributes is an important task in computer vision community due to it plays an important role in video surveillance. Many algorithms has been proposed to handle this task. The goal of this paper is to review existing works using traditional methods or based on deep learning networks. Firstly, we introduce the background of pedestrian attributes recognition (PAR, for short), including the fundamental concepts of pedestrian attributes and corresponding challenges. Secondly, we introduce existing benchmarks, including popular datasets and evaluation criterion. Thirdly, we analyse the concept of multi-task learning and multi-label learning, and also explain the relations between these two learning algorithms and pedestrian attribute recognition. We also review some popular network architectures which have widely applied in the deep learning community. Fourthly, we analyse popular solutions for this task, such as attributes group, part-based, \emph{etc}. Fifthly, we shown some applications which takes pedestrian attributes into consideration and achieve better performance. Finally, we summarized this paper and give several possible research directions for pedestrian attributes recognition. The project page of this paper can be found from the following website: \url{https://sites.google.com/view/ahu-pedestrianattributes/}.Comment: Check our project page for High Resolution version of this survey: https://sites.google.com/view/ahu-pedestrianattributes

Inverter System: A Solution to Improve the Efficiency of New Energy Generation in Factories

The report mainly analyzes whether the inverter system could improve the efficiency of converting new energy into factory electricity based on McLuhan's laws of media theory. Firstly, the report asserts the significance of using new energy and the importance of utilizing the inverter system to improve the power conversion of new energy in factories. Secondly, it mainly describes McLuhan's theory from four different aspects. In addition, according to the four aspects of McLuhan's theory, the rationality and feasibility of the inverter system solution are analyzed. Then, it is concluded that the inverter system can well improve the conversion efficiency of new energy generation in factories. Finally, this paper claims suggestions from two different perspectives to promote the development of the inverter system