TY - GEN
T1 - Feature representation learning for calving detection of cows using video frames
AU - Hyodo, Ryosuke
AU - Nakano, Teppei
AU - Ogawa, Tetsuji
N1 - Funding Information:
The authors would like to thank Higashimura Ranch for providing monitoring videos of cows, Farmers Support and Kagoshima Brain Center for the useful discussions.
Publisher Copyright:
© 2020 IEEE
PY - 2020
Y1 - 2020
N2 - Data-driven feature extraction is examined to realize accurate and robust calving detection. Automatic calving sign detection systems can support farmers' decision making. In this paper, neural networks are designed to extract information relevant to calving signs, which can be observed from video frames, such as the frequency in pre-calving postures, statistics in movement, and statistics in rotation. Experimental comparisons using surveillance videos demonstrate that the proposed feature extraction methods contribute to reducing false positives and explaining the basis of the prediction compared to the end-to-end calving detection system.
AB - Data-driven feature extraction is examined to realize accurate and robust calving detection. Automatic calving sign detection systems can support farmers' decision making. In this paper, neural networks are designed to extract information relevant to calving signs, which can be observed from video frames, such as the frequency in pre-calving postures, statistics in movement, and statistics in rotation. Experimental comparisons using surveillance videos demonstrate that the proposed feature extraction methods contribute to reducing false positives and explaining the basis of the prediction compared to the end-to-end calving detection system.
UR - http://www.scopus.com/inward/record.url?scp=85100579661&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85100579661&partnerID=8YFLogxK
U2 - 10.1109/ICPR48806.2021.9413019
DO - 10.1109/ICPR48806.2021.9413019
M3 - Conference contribution
AN - SCOPUS:85100579661
T3 - Proceedings - International Conference on Pattern Recognition
SP - 7043
EP - 7049
BT - Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th International Conference on Pattern Recognition, ICPR 2020
Y2 - 10 January 2021 through 15 January 2021
ER -