Long-Distance Avian Identification Approach Based on High-Frame-Rate Video
Author:
Affiliation:
1. School of Advanced Science and Engineering, Hiroshima University,Hiroshima,Japan,739-8527
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10260321/10260291/10260444.pdf?arnumber=10260444
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1. Flight kinematics of black-billed magpies and pigeons over a wide range of speeds
2. Morphology, Velocity, and Intermittent Flight in Birds1
3. Real-time High-speed Vision-based Vibration Spectrum Imaging
4. HFR-video-based Image Pattern Recognition Using Pixel-level Temporal Frequency Response Matching
5. The bird fauna in the higashi-hiroshima campus of the hiroshima university (ii);toshio;Bulletin of the Hiroshima University Museum,2021
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