Malika Ratnayake
@malikanr.bsky.social
PhD | Research Fellow @monashuniversity.bsky.social
2024 National Geographic Explorer
Digital Technologies for Insect Monitoring | Precision Agriculture
Data Science | AI | Computer Vision
www.malikanr.com
2024 National Geographic Explorer
Digital Technologies for Insect Monitoring | Precision Agriculture
Data Science | AI | Computer Vision
www.malikanr.com
Could you please add me? Thanks.
January 16, 2025 at 12:36 AM
Could you please add me? Thanks.
I would love to be added! Thank you :)
December 19, 2024 at 11:05 PM
I would love to be added! Thank you :)
We’ve published the complete dataset, including honeybee videos, annotated images for YOLOv2, and extracted insect tracks, on @monashuniversity.bsky.social and @figshare.bsky.social
doi.org/10.26180/5f4...
(6/6)
doi.org/10.26180/5f4...
(6/6)
Honeybee video tracking data
Monitoring animals in their natural habitat is essential for the advancement of animal behavioural studies, especially in pollination studies. We present a novel hybrid detection and tracking algorith...
doi.org
December 5, 2024 at 5:13 AM
We’ve published the complete dataset, including honeybee videos, annotated images for YOLOv2, and extracted insect tracks, on @monashuniversity.bsky.social and @figshare.bsky.social
doi.org/10.26180/5f4...
(6/6)
doi.org/10.26180/5f4...
(6/6)
I presented this research at the #CV4Animals workshop held in conjunction with @cvprconference.bsky.social 2021. #CVPR
malikanr.com/images/CV4An...
(5/6)
malikanr.com/images/CV4An...
(5/6)
December 5, 2024 at 5:13 AM
I presented this research at the #CV4Animals workshop held in conjunction with @cvprconference.bsky.social 2021. #CVPR
malikanr.com/images/CV4An...
(5/6)
malikanr.com/images/CV4An...
(5/6)
We used the HyDaT algorithm to extract data on honeybee behaviour, including (a) movement, (b) heatmaps, (c) visible times, (d) speeds, and (e) turn-angles in two ground covers.
doi.org/10.1371/jour...
(4/6)
doi.org/10.1371/jour...
(4/6)
Tracking individual honeybees among wildflower clusters with computer vision-facilitated pollinator monitoring
Monitoring animals in their natural habitat is essential for advancement of animal behavioural studies, especially in pollination studies. Non-invasive techniques are preferred for these purposes as t...
doi.org
December 5, 2024 at 5:13 AM
We used the HyDaT algorithm to extract data on honeybee behaviour, including (a) movement, (b) heatmaps, (c) visible times, (d) speeds, and (e) turn-angles in two ground covers.
doi.org/10.1371/jour...
(4/6)
doi.org/10.1371/jour...
(4/6)
HyDaT also has an occlusion identification algorithm that uses background subtraction to identify insect occlusions and field-of-view exits.
HyDaT is available at @github.com repo github.com/malikaratnay...
(3/6)
HyDaT is available at @github.com repo github.com/malikaratnay...
(3/6)
GitHub - malikaratnayake/HyDaT_Tracker: Tracking insect pollinators in complex dynamic environments
Tracking insect pollinators in complex dynamic environments - malikaratnayake/HyDaT_Tracker
github.com
December 5, 2024 at 5:13 AM
HyDaT also has an occlusion identification algorithm that uses background subtraction to identify insect occlusions and field-of-view exits.
HyDaT is available at @github.com repo github.com/malikaratnay...
(3/6)
HyDaT is available at @github.com repo github.com/malikaratnay...
(3/6)
Our algorithm, HyDaT (Hybrid Detection and Tracking), combines background subtraction with deep learning-based object detection #YOLO to accurately detect and track honeybees, even amidst environmental changes. It achieved an accuracy of 86.6% on a custom dataset.
(2/6)
(2/6)
December 5, 2024 at 5:13 AM
Our algorithm, HyDaT (Hybrid Detection and Tracking), combines background subtraction with deep learning-based object detection #YOLO to accurately detect and track honeybees, even amidst environmental changes. It achieved an accuracy of 86.6% on a custom dataset.
(2/6)
(2/6)