Face tracking using Kanade-Lucas-Tomasi algorithm

Chongrui He

doi:10.1117/12.2667789

28 March 2023 Face tracking using Kanade-Lucas-Tomasi algorithm

Chongrui He

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125663P (2023) https://doi.org/10.1117/12.2667789
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

Face recognition and tracking is a new topic of image analysis and computer vision systems study. We propose a face tracking method based on feature point tracking in this research. Face detection and face tracking are the two aspects of the proposed face tracking system. Before utilizing the KLT technique to track faces, use the Viola-Jones face detection algorithm to detect all faces in an image or video series. After detecting face objects in consecutive frames, the KLT algorithm tracks them and maintains long-term monitoring as faces come in and out. According to the experiments, the Viola-Jones algorithm is effective at detecting frontal faces. The KLT algorithm was put to the test by tracking human faces in a variety of films shot by a laptop camera. The KLT application is successful, and even if the identified face turns left or right, the face may be tracked.

Citation Download Citation

Chongrui He "Face tracking using Kanade-Lucas-Tomasi algorithm", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125663P (28 March 2023); https://doi.org/10.1117/12.2667789

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