Target Detecting and Target Tracking Based on YOLO and Deep SORT Algorithm

Jialing Zhen; Ye Liang; Zhe Li

doi:10.1007/978-3-031-04245-4_32

ScienceGate Book Chapters

BOOK-CHAPTER

Target Detecting and Target Tracking Based on YOLO and Deep SORT Algorithm

Jialing Zhen Ye Liang Zhe Li

Year: 2022 Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Pages: 362-369

DOI: 10.1007/978-3-031-04245-4_32

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Frame rate Transmission (telecommunications) Frame (networking) sort Artificial intelligence Kalman filter Data transmission Real-time computing Computer vision Video tracking Algorithm Video processing Computer hardware

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.17

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

Automated Road and Building Extraction

Physical Sciences → Engineering → Ocean Engineering

Target Detecting and Target Tracking Based on YOLO and Deep SORT Algorithm

Metrics

Topics

Related Documents

Infrared multi-target tracking based on Deep-Sort optimization algorithm

Multi-target tracking algorithm based on YOLO+DeepSORT

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

Multi-target Tracking Based on Deep Sort in Traffic Scene

Improved Algorithm for Road Multi-target Tracking Based on YOLO