Improved Mean Shift Algorithm Based on Probability Distribution
Xiaoqin Liu, Xiuhua Zhang, Xiaolong Pei, Xun Yan · 2021
The typical Mean Shift tracking algorithm was introduced and an improved Mean Shift algorithm based on probability distribution was presented. This algorithm uses color information and motion information to express target model. Compared with typical Mean Shift algorithm's, target expression and operation process are more simple and it is easy to integrate different target characteristics, which enhances tracking performance. Finally, tracking strategies were made aiming at problems of multi-objects and target lost.