Pedestrian Tracking Algorithm Based on Kalman Filter and Partial Mean-Shift Tracking

被引：0

作者：

Chen, Kangli ^{[1
]}

Ge, Wancheng ^{[2
]}

机构：

[1] Tongji Univ, Dept Informat & Commun Engn, Shanghai 201804, Peoples R China

[2] Tongji Univ, Sinogerman Coll Grad Studies, Shanghai 201804, Peoples R China

来源：

2014 2ND INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI) | 2014年

关键词：

Pedestrian Tracking; Partial Mean-Shift Tracking; Kalman Filter;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, the object of study in the science has gradually transmitted from vehicle to pedestrian and has an increasing requirement of the accuracy. In aspect of pedestrian tracking, this thesis introduces a new tracking unit based on the fact that in most cases, the occlusions of the pedestrians are partial and using it in multiple pedestrians tracking. Results shows that the tracking unit has a better performance in case that pedestrians has frequent occlusions and reduce the possibility of miss tracking or error tracking.

引用

页码：230 / 235

页数：6

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