科技创新与应用2024，Vol.14Issue(12)：164-167,4.DOI:10.19981/j.CN23-1581/G3.2024.12.038
基于深度学习的目标跟踪与行为识别技术
摘要
Abstract
With the development of artificial intelligence algorithm model technology,target tracking and behavior recognition have become important research tasks in the field of computer vision.This paper introduces two latest target tracking and behavior recognition algorithms,Yolo V7 and Yolo V8.This paper focuses on the target detection and feature extraction,target tracking and position prediction in the target tracking technology based on deep learning,and introduces the video coding and feature extraction,behavior classification and recognition in the behavior recognition technology based on deep learning.In addition,this paper constructs a joint learning of target tracking and behavior recognition based on the model structure of Yolo V7 and Yolo V8.关键词
目标跟踪/行为识别/Yolo V7/Yolo V8/联合学习Key words
target tracking/behavior recognition/Yolo V7/Yolo V8/joint learning分类
信息技术与安全科学引用本文复制引用
刘光明,李媛..基于深度学习的目标跟踪与行为识别技术[J].科技创新与应用,2024,14(12):164-167,4.基金项目
甘肃省2023年技术创新引导计划——科技专员专项(23CXGA0048) （23CXGA0048）
兰州资源环境职业技术大学2023年科技研究室课题(无编号) （无编号）
