Livestock detection in aerial images using a fully convolutional network

Livestock detection in aerial images using a fully convolutional network

Abstract In order to accurately count the number of animals grazing on grassland, we present a livestock detection algorithm using modified versions of U-net and Google Inception-v4 net. This method works well to detect dense and touching instances. We also introduce a dataset for livestock detectio...

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Bibliographic Details
Main Authors: Liang Han, Pin Tao, Ralph R. Martin
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:Computational Visual Media
Subjects:
livestock detection
segmentation
classification
Online Access:http://link.springer.com/article/10.1007/s41095-019-0132-5

Internet

http://link.springer.com/article/10.1007/s41095-019-0132-5

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