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1. Multiple Object Detection and Tracking in Complex Background EI SCIE SCOPUS 期刊论文

作者:Ma, YD;Liu, YC;Liu, S;Zhang, ZB

作者全称:Ma, Yingdong;Liu, Yuchen;Liu, Shuai;Zhang, Zhibin

作者机构:[Ma, Yingdong; Liu, Yuchen; Liu, Shuai; Zhang, Zhibin] Inner Mongolia Univ, Coll Comp Sci, Hohhot, Peoples R China.

第一署名单位:[Ma, Yingdong; Liu, Yuchen; Liu, Shuai; Zhang, Zhibin] Inner Mongolia Univ, Coll Comp Sci, Hohhot, Peoples R China.

第一作者:Ma, Yingdong

通讯作者:Ma, Yingdong(csmyd@imu.edu.cn)

通讯作者地址:Ma, YD (reprint author), Inner Mongolia Univ, Coll Comp Sci, Hohhot, Peoples R China.

来源:INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2017,Vol.31,Issue.2

基金:National Natural Science Foundation of China [61461039, 31160253, 61502254]

JCR分区:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE为Q3

中科院分区:大类工程技术4区;小类计算机:人工智能4区

(JCR)当年影响因子:1.029

(JCR)5年影响因子:0.887

ESI学科:COMPUTER SCIENCE

教育部学科:控制科学与工程,计算机科学与技术,软件工程

关键词:Video surveillance; Gaussian mixture modeling; multiple particle filters

摘要:Multiple object tracking is a fundamental step for many computer vision applications. However, detecting and tracking objects in complex background is 更多

更新时间:Mar 28, 2019
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