TY - GEN
T1 - A Method for Dataset Labeling for Activity Recognition in Videos
AU - Castro-Giron, Eduardo
AU - Shiguihara, Pedro
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/5
Y1 - 2021/8/5
N2 - Social Sciences and Demographics are in search of multiples ways to analyze person actions besides global factors like the environment. This paper aims to propose a protocol to construct a dataset from videos, then applying it to build a dataset of Peruvian News. Finally, we evaluate it using different Machine Learning (ML) methods, achieving an accuracy ranging 85% and 89%.
AB - Social Sciences and Demographics are in search of multiples ways to analyze person actions besides global factors like the environment. This paper aims to propose a protocol to construct a dataset from videos, then applying it to build a dataset of Peruvian News. Finally, we evaluate it using different Machine Learning (ML) methods, achieving an accuracy ranging 85% and 89%.
KW - convolutional neural networks
KW - labeling
KW - video labeling
UR - http://www.scopus.com/inward/record.url?scp=85116285431&partnerID=8YFLogxK
U2 - 10.1109/INTERCON52678.2021.9532669
DO - 10.1109/INTERCON52678.2021.9532669
M3 - Contribución a la conferencia
AN - SCOPUS:85116285431
T3 - Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
BT - Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 August 2021 through 7 August 2021
ER -