HOW MANY HIPPOS (HOMHIP): ALGORITHM FOR AUTOMATIC COUNTS OF ANIMALS WITH INFRA-RED THERMAL IMAGERY FROM UAV

45 citations as recorded by crossref.

1. Estimating kangaroo density by aerial survey: a comparison of thermal cameras with human observers M. Lethbridge et al.
2. Imperfect detection and wildlife density estimation using aerial surveys with infrared and visible sensors Z. Delisle et al.
3. Review of Satellite Remote Sensing and Unoccupied Aircraft Systems for Counting Wildlife on Land M. Attard et al.
4. Common hippopotamus in Nigeria: New census data and literature review confirm the conservation importance of sites outside protected areas L. Baker et al.
5. Comparing unmanned aerial systems with conventional methodology for surveying a wild white-tailed deer population M. McMahon et al.
6. Drone-based effective counting and ageing of hippopotamus (Hippopotamus amphibius) in the Okavango Delta in Botswana V. Inman et al.
7. Hidden Hippos: Using Photogrammetry and Multiple Imputation to Determine the Age, Sex, and Body Condition of an Animal Often Partially Submerged V. Inman & K. Leggett
8. A Study on the Detection of Cattle in UAV Images Using Deep Learning J. Barbedo et al.
9. The use of drones for studying the behaviour of mammals E. Berezina et al.
10. Burrow-Nesting Seabird Survey Using UAV-Mounted Thermal Sensor and Count Automation J. Virtue et al.
11. Comparison of Deep Learning and Object-Based Image Classification Methods: Identification of Horses from RGB Imagery J. Jech et al.
12. Research and Teaching Applications of Remote Sensing Integrated with GIS: Examples from the Field L. Loyola et al.
13. Exploring the feasibility of unmanned aerial vehicles and thermal imaging for ungulate surveys in forests - preliminary results J. Witczuk et al.
14. Evaluating new technology for biodiversity monitoring: Are drone surveys biased? E. Corcoran et al.
15. Evaluation of low‐cost consumer‐grade UAVs for conducting comprehensive high‐frequency population censuses of hippopotamus populations C. Fritsch & C. Downs
16. Recounting bias can affect abundance estimates from intensive helicopter surveys of feral goats J. Tracey et al.
17. Detection of the Endangered black-footed ferret Mustela nigripes using thermal-infrared cameras J. Boulerice et al.
18. Adapting astronomical source detection software to help detect animals in thermal images obtained by unmanned aerial systems S. Longmore et al.
19. Perspectives on the use of unmanned aerial systems to monitor cattle J. Barbedo & L. Koenigkan
20. Revue des applications et de l’utilité des drones en conservation de la faune P. Charbonneau & J. Lemaître
21. Understanding the efficacy and efficiency of thermal infrared UAV for wildlife monitoring E. Bohnett et al.
22. Train Fast While Reducing False Positives: Improving Animal Classification Performance Using Convolutional Neural Networks M. Moreni et al.
23. Advancing primate surveillance with image recognition techniques from unmanned aerial vehicles G. He et al.
24. Automated cattle counting using Mask R-CNN in quadcopter vision system B. Xu et al.
25. Computer-automated bird detection and counts in high-resolution aerial images: a review D. Chabot & C. Francis
26. Identification of salmon redds using RPV‐based imagery produces comparable estimates to ground counts with high inter‐observer variability D. Auerbach & A. Fremier
27. Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery L. Al-Shimaysawee et al.
28. Hot monkey, cold reality: surveying rainforest canopy mammals using drone-mounted thermal infrared sensors R. Kays et al.
29. Eye of the farmer in the sky: Drones S. GÜL et al.
30. Feasibility Analyses of Real-Time Detection of Wildlife Using UAV-Derived Thermal and RGB Images S. Lee et al.
31. Successful observation of orangutans in the wild with thermal-equipped drones C. Burke et al.
32. Automatic Recognition of Black-Necked Swan (Cygnus melancoryphus) from Drone Imagery M. Jiménez-Torres et al.
33. Drones for Conservation in Protected Areas: Present and Future J. Jiménez López & M. Mulero-Pázmány
34. An experimental approach to evaluate the potential of drones in terrestrial mammal research: a gregarious ungulate as a study model N. Schroeder et al.
35. Optimizing observing strategies for monitoring animals using drone-mounted thermal infrared cameras C. Burke et al.
36. Drone Nest Searching Applications Using a Thermal Camera R. Stander et al.
37. The Use of Drones for Studying the Behavior of Mammals E. Berezina et al.
38. Effectiveness of using drones and convolutional neural networks to monitor aquatic megafauna A. Woolcock et al.
39. The potential of unmanned aerial systems for sea turtle research and conservation: a review and future directions A. Rees et al.
40. The direct and indirect effects of damming on the Hippopotamus amphibius population abundance and distribution at Bui National Park, Ghana G. Bempah et al.
41. Thermal Infrared UAV Applications for Spatially Explicit Wildlife Occupancy Modeling E. Bohnett et al.
42. A Semi-Automated Method for Estimating Adélie Penguin Colony Abundance from a Fusion of Multispectral and Thermal Imagery Collected with Unoccupied Aircraft Systems C. Bird et al.
43. Thermal Sensor Calibration for Unmanned Aerial Systems Using an External Heated Shutter J. Virtue et al.
44. Cattle detection and counting in UAV images based on convolutional neural networks W. Shao et al.
45. Detection of two Arctic birds in Greenland and an endangered bird in Korea using RGB and thermal cameras with an unmanned aerial vehicle (UAV) W. Lee et al.