Study on image feature recognition algorithm and its application in public security management

2019 ◽  
Vol 18 (2/3) ◽  
pp. 284
Author(s):  
Xiaoyi Yang ◽  
Qian Wu ◽  
Xinmei Deng
Keyword(s):  
Feature Recognition ◽  
Security Management ◽  
Recognition Algorithm ◽  
Image Feature ◽  
Public Security

scholarly journals Research on School Classroom Teaching Model Based on Clustering Algorithm and Fuzzy Control

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Fujun Zhang ◽  
Aichuan Li ◽  
Jianfei Shi ◽  
Dongxin Wang
Keyword(s):  
Fuzzy Control ◽  
Clustering Algorithm ◽  
Feature Recognition ◽  
Computing Time ◽  
Recognition Algorithm ◽  
Image Feature ◽  
Operating Efficiency ◽  
Computational Techniques ◽  
Research Model ◽  
Adaboost Algorithm

The method of computational intelligence to monitor and evaluate the concentration of students in the teaching process can promptly and effectively adjust the learning plan and improve the learning effect. In this article, clustering algorithm and fuzzy control methods are used to construct a research model of students’ attention in class. In addition, this article uses the existing MATLAB-based image feature recognition algorithm to detect and obtain facial features and analyze the main features of facial expressions through computational techniques to realize the judgment of attention. In addition, this article optimizes the traditional AdaBoost algorithm to save computing time and improve operating efficiency and system performance stability. Finally, this article constructs the functional modules of the research model according to actual needs and designs experiments to verify the performance of the model. Experimental research results show that the model constructed in this article has a certain effect.

Recognition of classroom student state features based on deep learning algorithms and machine learning

2020 ◽  
pp. 1-12
Author(s):  
Hu Jingchao ◽  
Haiying Zhang
Keyword(s):  
Deep Learning ◽  
Feature Recognition ◽  
Subjective Evaluation ◽  
Recognition Algorithm ◽  
Video Data ◽  
State Recognition ◽  
Detection Model ◽  
State Classification ◽  
Intelligent Models ◽  
Model Recognition

The difficulty in class student state recognition is how to make feature judgments based on student facial expressions and movement state. At present, some intelligent models are not accurate in class student state recognition. In order to improve the model recognition effect, this study builds a two-level state detection framework based on deep learning and HMM feature recognition algorithm, and expands it as a multi-level detection model through a reasonable state classification method. In addition, this study selects continuous HMM or deep learning to reflect the dynamic generation characteristics of fatigue, and designs random human fatigue recognition experiments to complete the collection and preprocessing of EEG data, facial video data, and subjective evaluation data of classroom students. In addition to this, this study discretizes the feature indicators and builds a student state recognition model. Finally, the performance of the algorithm proposed in this paper is analyzed through experiments. The research results show that the algorithm proposed in this paper has certain advantages over the traditional algorithm in the recognition of classroom student state features.

scholarly journals GESTAO MUNICIPAL DA SEGURANÇA PÚBLICA: responsabilidade dos municípios brasileiros no combate à violência

2015 ◽  
Vol 18 (2) ◽  
pp. 399 ◽  
Author(s):  
Patrícia Verônica Pinheiro Sales Lima ◽  
Janaildo Soares de Sousa ◽  
Adauto Morais de Araújo Sobrinho ◽  
Jennifer Cícera dos Santos Faustino ◽  
Francisco Casimiro Filho
Keyword(s):  
Public Safety ◽  
Safety Management ◽  
Municipal Government ◽  
Public Policies ◽  
Security Management ◽  
Public Security ◽  
Present Level ◽  
Administrative Structure ◽  
The Public ◽  
Violence Index

Os mecanismos de gestão da segurança pública são instrumentos administrativos que potencializam os resultados de políticas nessa área. É o caso dos Conselhos, Planos, Fundos e Secretarias Municipais de Segurança Pública, além das Guardas Municipais. O artigo tem como objetivo verificar se a adoção de tais mecanismos produz impacto nos indicadores de violência. Paratanto, foram construídos o Índice de Gestão Municipal da Segurança Pública e o Índice de Violência. A partir de análise de correlaçãoentre tais variáveis, aponta que o nível atual de adoção dos mecanismos de gestão avaliados é muito baixo em todas as unidades federativas do Brasil, e não consegue influenciar os níveis de violência. Conclui que, ao omitir-se de implementar mecanismos degestão da segurança pública, o poder municipal, como ente mais próximo da população, enfraquece uma estrutura administrativa quedeveria servir de base para as políticas públicas voltadas para a redução da violência no âmbito local.Palavras-chave: Poder municipal, gestão, políticas públicas, violência.MUNICIPAL MANAGEMENT OF THE PUBLIC SAFETY: responsibility of the Brazilian municipalities for combating violenceAbstract: Mechanisms of the public security management are administrative tools that have improved the policies results in this area. This is the case of the Councils, Plans, Funds and Public Safety Secretariats, besides Municipal Guards. The paper aims to verify whether the adoption of such mechanisms has impacts on the violence indicators. Therefore, were built the Municipal Public Security Management Index and Violence Index. From the analysis of correlation between these variables was observed that the present level of adoption of management mechanisms is very low in all federative units of Brazil, and does not influence the levels of violence. Concludes that to omit to implement mechanisms of public safety management, the municipal power, as nearest entity of the population, weakens the administrative structure which should be the basis of all local public security policies.Key words: Municipal government, management, public policies, violence.

scholarly journals Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature Retrieval

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Hong Huang ◽  
Risheng Deng
Keyword(s):  
Data Mining ◽  
Feature Recognition ◽  
Image Data ◽  
Technical Analysis ◽  
Machine Learning Algorithms ◽  
Technical Training ◽  
Image Feature ◽  
Mining Technology ◽  
Movement Characteristics ◽  
Real Time Tracking

Tennis game technical analysis is affected by factors such as complex background and on-site noise, which will lead to certain deviations in the results, and it is difficult to obtain scientific and effective tennis technical training strategies through a few game videos. In order to improve the performance of tennis game technical analysis, based on machine learning algorithms, this paper combines image analysis to identify athletes’ movement characteristics and image feature recognition processing with image recognition technology, realizes real-time tracking of athletes’ dynamic characteristics, and records technical characteristics. Moreover, this paper combines data mining technology to obtain effective data from massive video and image data, uses mathematical statistics and data mining technology for data processing, and scientifically analyzes tennis game technology with the support of ergonomics. In addition, this paper designs a controlled experiment to verify the technical analysis effect of the tennis match and the performance of the model itself. The research results show that the model constructed in this paper has certain practical effects and can be applied to actual competitions.

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