计算机应用与软件2024，Vol.41Issue(6)：230-236,272,8.DOI:10.3969/j.issn.1000-386x.2024.06.034
一种融合检测、跟踪与分割的行人多任务算法
A PEDESTRIAN MULTI TASK ALGORITHM COMBINING DETECTION,TRACKING AND SEGMENTATION
张泽华 1李向阳1
作者信息
- 1. 华南理工大学自动化科学与工程学院 广东广州 510641
- 折叠
摘要
Abstract
With the increasing demand of image processing algorithm,a single vision algorithm is often difficult to meet the task requirements.To solve this problem,a multi task processing algorithm with detection,instance segmentation and multi-object tracking is proposed.The Anchor Free framework was used to realize one-stage detection,segmentation and tracking.The grid-based prediction strategy was used to reduce the computational load caused by multi task branching.The tracking branch encoded the tracking objects by word embedding,and associated them according to the distance between the word.The segmentation branch adopted the combination of mask coefficient and original mask to balance the accuracy and speed of the algorithm.The experimental results show that this algorithm can meet the accuracy requirements on the basis of real-time operation.关键词
多任务算法/实例分割/多目标跟踪Key words
Multi task algorithm/Instance segmentation/Multi-object tracking分类
信息技术与安全科学引用本文复制引用
张泽华,李向阳..一种融合检测、跟踪与分割的行人多任务算法[J].计算机应用与软件,2024,41(6):230-236,272,8.
