Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Metabolic Regulation of Seasoned White Snakehead Fillets by a Lemon Essential Oil-Rutin-Chitosan Coating Under Controlled Freezing-Point Storage.

Foods (Basel, Switzerland)·2026
Same author

PEYOLO: a wrist fracture detection network based on multi-level receptive field feature extraction and cross-scale fusion.

Frontiers in medicine·2026
Same author

Generalization of Left Ventricular Segmentation Models to LVNC Patients: A Comparative Study.

Journal of imaging informatics in medicine·2026
Same author

DUW-MGCA: A Dynamic Uncertainty-Weighted Multi-Granularity Coattention Framework for Protein-Ligand Interaction Prediction from Hybrid QM/MD Data.

Journal of chemical information and modeling·2026
Same author

Red-light-activated living bacterial electron generator for on-demand drug release in colonic inflammation.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Electrochemical induction of high performance electricity generation by novel marine electroactive Rossellomorea aquimaris MT01.

Bioresource technology·2026
See all related articles

Related Experiment Video

Updated: May 21, 2025

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories
07:52

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories

Published on: July 10, 2019

14.0K

A computer vision solution for behavioral recognition in red pandas.

Pu Luo1,2, Yupeng Niu1,2, Duoxun Tang1,2

  • 1College of Information Engineering, Sichuan Agricultural University, Ya'an, China.

Scientific Reports
|March 18, 2025
PubMed
Summary
This summary is machine-generated.

This study developed an efficient AI model to monitor red panda behavior, improving health assessments for this endangered species. The computer vision approach aids conservation efforts by detecting health issues through behavioral analysis.

Keywords:
Animal conservationBehavior recognitionComputer visionRed panda

More Related Videos

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
08:32

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

12.3K
A Novel Single Animal Motor Function Tracking System Using Simple, Readily Available Software
08:22

A Novel Single Animal Motor Function Tracking System Using Simple, Readily Available Software

Published on: August 31, 2018

6.5K

Related Experiment Videos

Last Updated: May 21, 2025

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories
07:52

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories

Published on: July 10, 2019

14.0K
Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
08:32

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

12.3K
A Novel Single Animal Motor Function Tracking System Using Simple, Readily Available Software
08:22

A Novel Single Animal Motor Function Tracking System Using Simple, Readily Available Software

Published on: August 31, 2018

6.5K

Area of Science:

  • Animal behavior studies
  • Computer vision applications
  • Conservation technology

Background:

  • Endangered red pandas face threats from habitat loss and health issues, impacting survival rates.
  • Abnormal behaviors in red pandas can indicate underlying health problems, necessitating effective monitoring.
  • Non-invasive behavioral monitoring using computer vision offers a promising avenue for red panda health research and welfare.

Purpose of the Study:

  • To develop and evaluate an improved, lightweight, and efficient YOLOv8 model for recognizing red panda behaviors.
  • To enhance the accuracy and efficiency of automated behavioral monitoring for endangered red pandas.
  • To leverage computer vision for advancing red panda health research and welfare practices.

Main Methods:

  • A dataset of 3142 red panda behavior images was collected using motion-activated cameras and web crawlers.
  • An improved YOLOv8 model (YOLOv8s-Red Panda) was proposed, incorporating adaptive histogram equalization and GMBottleNeck modules.
  • The model training integrated the SimAM attention mechanism and feature fusion learning for enhanced performance.

Main Results:

  • The YOLOv8s-Red Panda model achieved a 90.6% accuracy rate in recognizing red panda behavior.
  • The enhanced model demonstrated a 1.4% improvement in accuracy compared to the baseline model (YOLOv8s-DE).
  • The model size was reduced by one-third, indicating increased efficiency.

Conclusions:

  • The developed YOLOv8s-Red Panda model shows exemplary performance in automated red panda behavior recognition.
  • This computer vision approach has significant potential to advance healthcare and optimize animal welfare for endangered red pandas.
  • Effective behavioral monitoring using AI can contribute to the conservation of threatened species.