Hand initialization and tracking using a modified KLT tracker for a computer vision-based breast self-examination system

• Main Authors: Masilang, Rey Anthony A., Cabatuan, Melvin K., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2014
• Subjects: Breast—Examination > Automation; Self-examination, Medical > Automation; Computer vision in medicine; Biomedical; Electrical and Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/4020
• Institution: De La Salle University

This paper presents a new algorithm for tracking the hand during palpation in a breast self-examination video capture using a modified KLT feature tracker. This is implemented primarily using Shi-Tomasi corner detection and Lucas-Kanade optical flow. A novel hand initialization technique was developed using Shi-Tomasi corner detection, outlier elimination, ellipse fitting, and target estimation in order to locate specifically the finger pads. Then, continuous hand tracking is achieved using Lucas- Kanade optical flow and a novel evaluation and screening of displacement vectors. A dataset of 14 video sequences was used to test the performance of the proposed algorithm. Experiments revealed efficient tracking capability of the algorithm with an overall F-score of 94.61% © 2014 IEEE.