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1. Visual attention feature (VAF) : A novel strategy for visual tracking based on cloud platform in intelligent surveillance systems SCOPUS EI SCIE 期刊论文 会议论文 认领

作者:Pan, Z;Liu, S;Sangaiah, AK;Muhammad, K

作者全称:Pan, Zheng;Liu, Shuai;Sangaiah, Arun Kumar;Muhammad, Khan

作者机构:[Pan, Zheng; Liu, Shuai] Inner Mongolia Univ, Coll Comp Sci, Hohhot, Peoples R China.;[Pan, Zheng; Liu, Shuai] Inner Mongolia Key Lab Social Comp & Da 更多

通讯作者:Liu, Shuai(cs_liushuai@imu.edu.cn)

通讯作者地址:Liu, S (reprint author), 235 DaXueXi St, Hohhot 010012, Peoples R China.

来源:JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING,2018,Vol.120

基金:National Natural Science Foundation of China [61502254]; Program for Yong Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region [NJYT-18-B10]; Postgraduate Scientific Research Innovation Foundation of Inner Mongolia [10000-16010109-58]

JCR分区:COMPUTER SCIENCE, THEORY & METHODS为Q2

(JCR)当年影响因子:1.815

(JCR)5年影响因子:1.974

SCOPUS被引频次:6

ESI学科:COMPUTER SCIENCE

关键词:Visual attention feature; Visual object tracking; Parallel computing; Tracking strategy; Human visual system; Computer vision

摘要:Visual object tracking has been challenged in computer vision because objects often undergo significant representation changes caused by occlusion, il 更多

更新时间:Mar 28, 2019
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