@inproceedings{64b534135edf4ca0848043d2a2c33514,
title = "Video pre-processing for the improvement of an automated lameness detection system for dairy cows",
abstract = "Computer vision and image analysis are techniques with potential for use in animal health and welfare monitoring systems, since they are relatively inexpensive and do not interfere with the animals' environment. In an automatic lameness detection system for dairy cows, in particular, the performance of the model relies on the quality of the 3D input videos and therefore video pre-processing is required. This paper describes video pre-processing routines for automatic filtering of {"}video quality{"} and {"}cow's walking speed{"}. Decision tree algorithms J.48 were used to classify model performance. The results show that the {"}video quality{"} filtering model correctly classified 75.7\% of cases while the {"}cow's walking speed{"} achieved 91.3\% accuracy. Detailed results are quantified in the form of a confusion matrix. Further optimisation of the 3D automated lameness detection system through pre-processing is needed before it can be used on commercial dairy farms.",
keywords = "3D image, Cow's features extraction, Filtering, System implementation, Video quality",
author = "Romanini, \{C. E.B.\} and S. Viazzi and \{Van Hertem\}, T. and A. Schlageter-Tello and I. Halachmi and K. Lokhorst and C. Bahr and D. Berckmans",
year = "2013",
month = jan,
day = "1",
language = "English",
isbn = "9789088263330",
series = "Precision Livestock Farming 2013 - Papers Presented at the 6th European Conference on Precision Livestock Farming, ECPLF 2013",
publisher = "Katholieke Universiteit Leuven",
pages = "479--487",
booktitle = "Precision Livestock Farming 2013 - Papers Presented at the 6th European Conference on Precision Livestock Farming, ECPLF 2013",
note = "6th European Conference on Precision Livestock Farming, ECPLF 2013 ; Conference date: 10-09-2013 Through 12-09-2013",
}