Recognizing human behaviors from surveillance videos using the SSD algorithm

Pan, Husheng; Li, Yuzhen; Zhao, Dezhu

doi:10.1007/s11227-020-03578-3

Cited by 15 publications

(9 citation statements)

References 51 publications

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“…In this country, political and social philosophies originating in Western Europe have had a significant impact on higher education, particularly in the sciences [ 23 ]. The contribution of international development initiatives to the globalisation of public higher education in the United States has been investigated [ 24 ]. Ultimately, they came to the conclusion that participation in overseas development programmes can assist public universities in fulfilling their goals of education, research, and public service [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Ideological and Political Education Strategies in Colleges and Universities Based on Deep Learning

Yao

Jian-wen

2022

Computational Intelligence and Neuroscience

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In the current technological world, artificially intelligent deep learning techniques are adapted in many fields. This advanced technology is also used in the field of education. In this study, people will conduct research on the optimization of ideological and political education strategies in colleges and universities based on deep learning. Deep learning is often a machine learning technique that uses artificial neural networks that allow a machine to imitate human behaviour. Ideological and political education deals with the social studies implied by the political scenario. Ideological and political education aims to teach the younger generation social, economic, and political awareness. In our proposed system, people will deploy the deep learning algorithm named brute force algorithm to optimize ideological and political education in colleges and universities. The teaching optimization is performed by automating the training of the deep learning model. The results were compared with the existing K-means algorithm, and it is observed that the proposed system has achieved a higher accuracy of 99.12% in optimizing the educational strategies.

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Section: Introductionmentioning

confidence: 99%

Optimization of Ideological and Political Education Strategies in Colleges and Universities Based on Deep Learning

Yao

Jian-wen

2022

Computational Intelligence and Neuroscience

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“…In other words, first is a person detection stage followed by the key point detection stage. These approaches still dominate the leaderboard of public benchmark datasets like MS COCO10 dataset [52,78] and can be summarized based on the following aspects:…”

Section: D Multi-person Pose Estimationmentioning

confidence: 99%

Human pose, hand and mesh estimation using deep learning: a survey

Toshpulatov

Lee

et al. 2022

J Supercomput

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Human pose estimation is one of the issues that have gained many benefits from using state-of-the-art deep learning-based models. Human pose, hand and mesh estimation is a significant problem that has attracted the attention of the computer vision community for the past few decades. A wide variety of solutions have been proposed to tackle the problem. Deep Learning-based approaches have been extensively studied in recent years and used to address several computer vision problems. However, it is sometimes hard to compare these methods due to their intrinsic difference. This paper extensively summarizes the current deep learning-based 2D and 3D human pose, hand and mesh estimation methods with a single or multi-person, single or double-stage methodology-based taxonomy. The authors aim to make every step in the deep learning-based human pose, hand and mesh estimation techniques interpretable by providing readers with a readily understandable explanation. The presented taxonomy has clearly illustrated current research on deep learning-based 2D and 3D human pose, hand and mesh estimation. Moreover, it also provided dataset and evaluation metrics for both 2D and 3DHPE approaches.

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“…This section aims to analyze the recognition efficiency of students in class by relying on the DL model (Xing et al, 2021). Based on the literature review, the SSD algorithm (Pan et al, 2021) is used to identify five common behaviors of students in the classroom, namely, sitting, listening, writing, sleeping, raising hands, and playing with mobile phones. First, it was necessary to collect as many images of the behavior of students in classrooms as possible of the five student behaviors, namely, raising hands, sitting, writing, sleeping, and playing with mobile phones.…”

Section: Analysis Of the Teaching Efficiency Of Ideological And Political Courses Based On DLmentioning

confidence: 99%

Deep Learning-Based Teaching Strategies of Ideological and Political Courses Under the Background of Educational Psychology

Chen

et al. 2021

Front. Psychol.

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At present, low teaching efficiency has been the common problem of ideological and political education in colleges and universities in China. It is essential to improve the teaching efficiency and realize the intelligent information transformation of the ideological and political courses in colleges and universities. First, the relationship between ideological and political courses and the educational psychology of college students was analyzed based on the theoretical characteristics of educational psychology and college ideological and political courses. Additionally, the teaching efficiency of ideological and political courses based on deep learning (DL) was analyzed through a literature survey. Combined with online teaching modes such as the flipped classroom and Massive Open Online Courses, a comprehensive online teaching mode of college ideological and political courses was proposed via educational psychology and the Single Shot MutiBox Detector networks of DL. Then, a total of 100 research subjects were selected randomly from the freshmen and sophomores of the Southwest University of Science and Technology, and their acceptability to the online ideological and political courses was analyzed by a questionnaire survey. The results show that the adopted questionnaire had high reliability and validity, and the proportion of respondents of different genders, grades, and majors was essentially balanced. More than half of the students had a good understanding of the comprehensive ideological and political courses and made progress in their values, ideology, morals, and knowledge reserves. More than half of the students had a positive attitude to the course, and they thought that the class atmosphere of the course was active, which was conducive to a satisfactory learning effect. This indicates that the teaching strategy of ideological and political courses in colleges and universities that integrates educational psychology, DL, and online information can attract students. The contribution of this study is that the research outcome can be applied to the concrete formulation of the teaching strategies of ideological and political courses for college students.

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Recognizing human behaviors from surveillance videos using the SSD algorithm

Cited by 15 publications

References 51 publications

Optimization of Ideological and Political Education Strategies in Colleges and Universities Based on Deep Learning

Optimization of Ideological and Political Education Strategies in Colleges and Universities Based on Deep Learning

Human pose, hand and mesh estimation using deep learning: a survey

Deep Learning-Based Teaching Strategies of Ideological and Political Courses Under the Background of Educational Psychology

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