About this document
基于不确定性度量的多特征融合跟踪 by 彦成 苏 is a document available to read on EtoBox.
The paper introduces a new object tracking algorithm that enhances robustness by fusing multiple features based on uncertainty measurement. It addresses the limitations of traditional particle filters when features have low discriminative abilities and particle distributions are dispersed. Experimental results demonstrate that the proposed method outperforms single feature and conventional fusion techniques in stability and robustness.
- Author
- 彦成 苏
- Language
- EN