Fast Target Tracking Based on Improved Deep Sort and YOLOv3 Fusion Algorithm-Reference-Cited by-同舟云学术

Fast Target Tracking Based on Improved Deep Sort and YOLOv3 Fusion Algorithm

Published:2021 Issue: Volume: Page:360-369
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Wang Yanqing,Liang Zhiyong,Cheng Xinyu

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-5940-9_27

Reference16 articles.

1. Wang, C.: Overview of moving object detection methods in intelligent video surveillance system. Autom. Instrum. 03, 1–3 (2017)

2. He, Y.: Moving target detection based on improved frame difference and background subtraction. Yanshan University (2016)

3. Zhang, J., Xu, C., Tang, M., Lu, W., Bian, Z.: Research on improved target detection method based on SSD [J]. Laser and Infrared, 2019, 49(08):1019-1025

4. Redmon, J., Farhadi, A.: YOLOv3: An Incremental Improvement (2018)

5. Jiang, X., Xiang, C., Liang, D.: An improved Mean Shift moving target tracking algorithm. Inf. Technol. 01, 127–130 (2017)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on UAV Target Tracking and Localization Algorithm Based on Computer Filtering Algorithm;2023 3rd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS);2023-02

2. Visual Object Tracking with Adaptive Template Update and Global Search Augmentation;Communications in Computer and Information Science;2023

3. Application of Deep Convolution Network Algorithm in Sports Video Hot Spot Detection;Frontiers in Neurorobotics;2022-05-26

4. Classroom Teaching Effect Monitoring and Evaluation System with Deep Integration of Artificial Intelligence;Communications in Computer and Information Science;2022

5. A Review of Animal Individual Recognition Based on Computer Vision;Communications in Computer and Information Science;2022