Face and gesture recognition system based on OpenCV

Yiping Liu; Wei Wang; Wenlei Zeng

doi:10.1117/12.2667539

22 February 2023 Face and gesture recognition system based on OpenCV

Yiping Liu, Wei Wang, Wenlei Zeng

Proceedings Volume 12587, Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022); 125870X (2023) https://doi.org/10.1117/12.2667539
Event: Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022), 2022, Shanghai, China

Abstract

This paper mainly discusses processing the video stream obtained from the network camera by using OpenCV image processing function to detect the face. Face recognition classifier uses OpenCV comes with the face classifier that trains by HAAR characteristics , which draw out of the face part with a blue box. Secondly, we identify the meaning of gesture. The recognition of gesture uses the classifier which uses Haar characteristics to extract the target feature to make the classifier. And also the use of pattern matching method become the second choice. Finally we use JNA to call the Windows API, to make the Windows platform browser switch to the web page. Also we use JavaFX to create the GUI, to take pictures, set the value of HSV, and display the meaning of gestures. Key words-OpenCV; Gesture Recognition; Pattern Matching; Face Recognition

Citation Download Citation

Yiping Liu, Wei Wang, and Wenlei Zeng "Face and gesture recognition system based on OpenCV", Proc. SPIE 12587, Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022), 125870X (22 February 2023); https://doi.org/10.1117/12.2667539

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