Design of Improved ECO Multi-Object Tracker Based on Camera Motion Estimation

被引：0

作者：

Chen, Jianchao ^{[1
]}

Xi, Zhenghao ^{[1
]}

Liu, Xiang ^{[1
]}

机构：

[1] School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai,201620, China

来源：

Computer Engineering and Applications | 2024年 / 60卷 / 10期

关键词：

Motion estimation;

D O I：

10.3778/j.issn.1002-8331.2303-0006

中图分类号：

学科分类号：

摘要：

Multiple object tracking (MOT) is susceptible to the motion and random jitter of the camera in dynamic scenes due to the linear assumption of the motion model, leading to tracking errors. A camera motion aware filter multi-object tracker (CMAFT) is designed to solve the above problems. Firstly, a new model combines camera motion estimation with the regional search characteristics of single object tracking (SOT) to compensate for the drift caused by camera motion and improve the accuracy of prediction. Secondly, an improved cascade matching method for this model is proposed to deal with the mutual occlusion and identity switching between different objects by fusing the SOT prediction. Finally, experiments are run on the MOT17 dataset to verify the effectiveness of the proposed method. © 2024 Journal of Computer Engineering and Applications Beijing Co., Ltd.; Science Press. All rights reserved.

引用

页码：285 / 291