Identifying Black Cow Actions Using Kalman Filter Velocity and Multi-Stage Classification-Reference-Cited by-同舟云学术

Identifying Black Cow Actions Using Kalman Filter Velocity and Multi-Stage Classification

Published:2024-07-01 Issue:4 Volume:28 Page:183-186
ISSN:1342-6230
Container-title:Journal of Signal Processing
language:en
Short-container-title:Journal of Signal Processing

Author:

Aye Cho Cho¹,Zin Thi Thi¹,Aikawa Masaru²,Kobayashi Ikuo³

Affiliation:

1. Graduate School of Engineering, University of Miyazaki

2. Organization for Learning and Student Development, University of Miyazaki

3. Faculty of Agriculture, University of Miyazaki

Publisher

Research Institute of Signal Processing, Japan

Link

https://www.jstage.jst.go.jp/article/jsp/28/4/28_183/_pdf

Reference6 articles.

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3. [3] Thi Thi Zin, et al.: A general video surveillance framework for animal behavior analysis, Proceedings of the 3rd International Conference on Computing Measurement Control and Sensor Network, Matsue, Japan, pp. 130-133, 2016.

4. [4] K. Nakamura, and Y. Taniguchi: Detecting mounting behaviors of dairy cows by pre-training with pseudo images, Proceedings of the 29th International Workshop on Frontiers of Computer Vision (IW-FCW), 2023.

5. [5] May Phyu Khin, et al.: Cattle pose classification system using DeepLabCut and SVM model, Proceedings of the 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE), pp. 494-495, 2022.