Thermal Sensor-Based Multiple Object Tracking for Intelligent Livestock Breeding
Visual object tracking is an essential technique for constructing intelligent livestock management systems. Behavior patterns estimated from the trajectories of animals provide substantial useful information related to estrus cycle, disease prognosis and so on. However, similar colors and shapes bet...
Main Authors: | Wonjun Kim, Yong Beom Cho, Sangrak Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8114167/ |
Similar Items
-
Tracking-by-Segmentation Using Superpixel-Wise Neural Network
by: Se-Ho Lee, et al.
Published: (2018-01-01) -
Long-Term Tracking of Group-Housed Livestock Using Keypoint Detection and MAP Estimation for Individual Animal Identification
by: Eric T. Psota, et al.
Published: (2020-06-01) -
Optimized object tracking technique using Kalman filter
by: Liana Ellen Taylor, et al.
Published: (2016-07-01) -
Siamese Contour Segmentation Network for Multi-State Object Tracking
by: Hao Li, et al.
Published: (2023-01-01) -
SF-YOLOv5: A Lightweight Small Object Detection Algorithm Based on Improved Feature Fusion Mode
by: Haiying Liu, et al.
Published: (2022-08-01)