Tracking moving objects on video in psychological studies

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Abstract

The article discusses the possibilities of using OpenCV and dlib libraries to track the position of specified objects on the video image and to track a set of landmark points of the human face. It is shown that these problems can be effectively solved with the help of compact programs in Python. The Python language is recommended to the attention of research psychologists as an instrument for analyzing video images and constructing complex experiments.

General Information

Keywords: object tracking, face detection, Python, OpenCV, dlib

Journal rubric: Cognitive Psychology

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2019120401

Funding. The study was carried out within the framework of the state project of the Ministry of Education and Science of the Russian Federation, project 25.3471.2017/PC “Identification of significant components of the cognitive experience of a specialist to their capturing and transfer”.

For citation: Zhegallo A.V. Tracking moving objects on video in psychological studies. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2019. Vol. 12, no. 4, pp. 5–11. DOI: 10.17759/exppsy.2019120401. (In Russ., аbstr. in Engl.)

References

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Information About the Authors

Alexander V. Zhegallo, PhD in Psychology, Senior Researcher at the Laboratory of Systems Research of the Psyche, Institute of Psychology of the Russian Academy of Sciences, Researcher at the Center for Experimental Psychology of MSUPE, Moscow, Russia, ORCID: https://orcid.org/0000-0002-5307-0083, e-mail: zhegalloav@ipran.ru

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