On-line classroom visual tracking and quality evaluation by an advanced feature mining technique

作者：

Highlights：

• We formulated a new technology based on knowledge discovery for online classroom image data tracking and evaluation.

• This technology is widely used in the data mining environment, and has high applicability for online classroom image data tracking and evaluation methods.

• This algorithm has higher efficiency, wider applicability and higher recognition.

摘要

•We formulated a new technology based on knowledge discovery for online classroom image data tracking and evaluation.•This technology is widely used in the data mining environment, and has high applicability for online classroom image data tracking and evaluation methods.•This algorithm has higher efficiency, wider applicability and higher recognition.

论文关键词：Visual tracking,Data mining,Online Classroom,Quality evaluation,Behavior analysis

论文评审过程：Received 26 June 2019, Revised 5 February 2020, Accepted 29 February 2020, Available online 13 March 2020, Version of Record 26 March 2020.

论文官网地址：https://doi.org/10.1016/j.image.2020.115817