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- Title
Design of Improved ECO Multi-Object Tracker Based on Camera Motion Estimation.
- Authors
CHEN Jianchao; XI Zhenghao; LIU Xiang
- Abstract
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.
- Subjects
IMAGE stabilization; PROBLEM solving; CAMERAS
- Publication
Journal of Computer Engineering & Applications, 2024, Vol 60, Issue 10, p285
- ISSN
1002-8331
- Publication type
Article
- DOI
10.3778/j.issn.1002-8331.2303-0006