Real-time Detection and Tracking of Surgical Instrument Based on YOLOv5 and DeepSORT<sup>*</sup>-Reference-Cited by-同舟云学术

Real-time Detection and Tracking of Surgical Instrument Based on YOLOv5 and DeepSORT^*

Published:2023-08-28 Issue: Volume: Page:
ISSN:
Container-title:2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
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Author:

Zhang Youqiang¹,Kim Minhyo¹,Jin Sangrok¹

Affiliation:

1. Pusan National University,Department of Mechanical Engineenng,Busan,Korea

Funder

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10309296/10309265/10309495.pdf?arnumber=10309495

Reference25 articles.

1. LSD: a Line Segment Detector

2. Lightweight Deep Neural Network for Real-Time Instrument Semantic Segmentation in Robot Assisted Minimally Invasive Surgery

3. Tracking of Retinal Microsurgery Tools Using Late Fusion of Responses from Convolutional Neural Network over Pyramidally Decomposed Frames[C];mishra;International Conference on Computer Vision Graphics and Image Processing,2016

4. Fast Visual Tracking via Dense Spatio-temporal Context Learning

5. Robust Real-Time Detection of Laparoscopic Instruments in Robot Surgery Using Convolutional Neural Networks with Motion Vector Prediction

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1. A dual-instrument Kalman-based tracker to enhance robustness of microsurgical tools tracking;International Journal of Computer Assisted Radiology and Surgery;2024-08-12

2. A Unified Deep Learning Approach for Integrating Retinal Image Diagnosis and Surgical Tool Classification;2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS);2024-04-17