GCNTrack: A Pig-Tracking Method Based on Skeleton Feature Similarity
Pig tracking contributes to the assessment of pig behaviour and health. However, pig tracking on real farms is very difficult. Owing to incomplete camera field of view (FOV), pigs frequently entering and exiting the camera FOV affect the tracking accuracy. To improve pig-tracking efficiency, we prop...
Saved in:
| Main Authors: | Zhaoyang Yin, Zehua Wang, Junhua Ye, Suyin Zhou, Aijun Xu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Animals |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-2615/15/7/1040 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cross-Scale Spatial Refinement Graph Convolutional Network for Skeleton-Based Action Recognition
by: Chengyuan Ke, et al.
Published: (2025-04-01) -
Dynamic Graph Attention Network for Skeleton-Based Action Recognition
by: Zhenhua Li, et al.
Published: (2025-04-01) -
Hand-aware graph convolution network for skeleton-based sign language recognition
by: Juan Song, et al.
Published: (2025-01-01) -
Sarcopenia diagnosis using skeleton-based gait sequence and foot-pressure image datasets
by: Muhammad Tahir Naseem, et al.
Published: (2024-11-01) -
Lightweight Multiscale Spatio-Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
by: Zhiyun Zheng, et al.
Published: (2025-04-01)