Pedestrian Detection and Tracking Based on A Novel Background Subtraction & Particle Filter

被引：0

作者：

Liu, Defang ^{[1
]}

Deng, Ming ^{[1
]}

机构：

[1] Fuyang Normal Coll, Coll Comp & Informat, Fuyang 236037, Anhui, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL INDUSTRIAL INFORMATICS AND COMPUTER ENGINEERING CONFERENCE | 2015年

关键词：

pedestrian; detection; tracking; background subtraction; particle filter; OBJECT DETECTION;

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：

This paper focuses on pedestrian detection of moving objects, and then tracking the detected objects. The pedestrian detection is performed using an algorithm based on a type of background subtraction technique. This technique not only uses a median- based approach for initial background estimation but also a novel two-pass approach for noise removal. The tracking of the detected object is then done using an offline particle filter. The proposed applications of the algorithm presented in this paper, could be pedestrian activity monitoring, ITS, etc. The experiment indicates that the algorithm can detect and track the pedestrian effectively.

引用

页码：939 / 942

页数：4