TY - GEN
T1 - Lower Body Detection and Tracking with AlphaPose and Kalman Filters
AU - Dalimarta, Fahmy Ferdian
AU - Hasibuan, Zainal Arifin
AU - Andono, Pulung Nurtantio
AU - Pujiono,
AU - Soeleman, Moch Arief
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/9/18
Y1 - 2021/9/18
N2 - The expansion of computer vision is currently experiencing significant growth, especially in healthcare, security, and other social life aspects. One of the concepts of computer vision advancement is using a regular camera to detect lower body movements, from the waist to toe, to see hyperactivity symptoms in children. This article presents a framework and analysis of lower body movement detection using the estimator alphaPose pre-trained using Halpe 26 keypoints and HOI-Det dataset. The next phase is object tracking using the optical flow of the Pyramidal Lucas-Kanade method. As the final step, we are using the Extended Kalman Filter to determine movement patterns. Finally, the framework will calculate the intensity of the object's movement. Testing this framework was conducted using several videos of human activities. It resulted in detection and movement intensity calculations with an accuracy of 95.17 percent for the lower leg detection, which is better than existing methods..
AB - The expansion of computer vision is currently experiencing significant growth, especially in healthcare, security, and other social life aspects. One of the concepts of computer vision advancement is using a regular camera to detect lower body movements, from the waist to toe, to see hyperactivity symptoms in children. This article presents a framework and analysis of lower body movement detection using the estimator alphaPose pre-trained using Halpe 26 keypoints and HOI-Det dataset. The next phase is object tracking using the optical flow of the Pyramidal Lucas-Kanade method. As the final step, we are using the Extended Kalman Filter to determine movement patterns. Finally, the framework will calculate the intensity of the object's movement. Testing this framework was conducted using several videos of human activities. It resulted in detection and movement intensity calculations with an accuracy of 95.17 percent for the lower leg detection, which is better than existing methods..
KW - alphaPose
KW - extended Kalman filter
KW - Halpe keypoints
KW - lower body tracking
KW - movement's intensity
KW - Pyramidal Lucas-Kanade
UR - http://www.scopus.com/inward/record.url?scp=85118957745&partnerID=8YFLogxK
U2 - 10.1109/iSemantic52711.2021.9573221
DO - 10.1109/iSemantic52711.2021.9573221
M3 - Conference contribution
AN - SCOPUS:85118957745
T3 - Proceedings - 2021 International Seminar on Application for Technology of Information and Communication: IT Opportunities and Creativities for Digital Innovation and Communication within Global Pandemic, iSemantic 2021
SP - 201
EP - 205
BT - Proceedings - 2021 International Seminar on Application for Technology of Information and Communication
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Seminar on Application for Technology of Information and Communication, iSemantic 2021
Y2 - 18 September 2021 through 19 September 2021
ER -
