A Low False Negative Filter for Detecting Rare Bird Species From Short Video Segments Using a Probable Observation Data Set-Based EKF Method
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx5/83/5550283/05446406.pdf?arnumber=5446406
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Glance and Stare: Trapping Flying Birds in Aerial Videos by Adaptive Deep Spatio-Temporal Features;IEEE Transactions on Circuits and Systems for Video Technology;2019-09
2. Elimination of useless images from raw camera-trap data;TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES;2019-07-26
3. A new skeleton based flying bird detection method for low-altitude air traffic management;Chinese Journal of Aeronautics;2018-11
4. Seabird image identification in natural scenes using Grabcut and combined features;Ecological Informatics;2016-05
5. Automatic Bird Species Filtering Using a Multimodel Approach;IEEE Transactions on Automation Science and Engineering;2015-04
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