Multiple Moving Targets Tracking Based on the Video

被引：0

作者：

Li, Yucheng ^{[1
]}

Wang, Fenyan ^{[1
]}

机构：

[1] N China Univ Tech, Dept Automat, Beijing, Peoples R China

来源：

2009 INTERNATIONAL SYMPOSIUM ON COMPUTER NETWORK AND MULTIMEDIA TECHNOLOGY (CNMT 2009), VOLUMES 1 AND 2 | 2009年

关键词：

moving target tracking; Bhattacharyya coefficient; gaussian mixture model; meanshift algorithm;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Because when moving objects are tracked by mean-shift algorithm, the starting position of target in the current frame starts at the center of the target in the previous frame, so the accuracy of vehicle tracking is not too high. In order to overcome this shortcoming, the mask-based mean-shift algorithm is proposed in the paper. The accuracy of target tracking can be improved by forecasting its starting position. Experiments verify that the accuracy of vehicle tracking is improved by using the algorithm and that the problem of partial occlusion could be resolved.

引用

页码：434 / 437

页数：4

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