IEEE Access Special Section Editorial: Visual Surveillance and Biometrics: Practices, Challenges, and Possibilities

被引：0
|
作者：
Bakshi, Sambit [1 ]
Guo, Guodong [2 ]
Proenca, Hugo [3 ]
Tistarelli, Massimo [4 ]
机构：
[1] Natl Inst Technol Rourkela, Rourkela 769008, Odisha, India
[2] West Virginia Univ, Dept Comp Sci & Elect Engn, Morgantown, WV 26506 USA
[3] Univ Beira Interior, IT Inst Telecomunicacoes, Dept Comp Sci, P-6201001 Covilha, Portugal
[4] Univ Sassari, Comp Vis Lab, I-07100 Sassari, Italy
来源：
IEEE ACCESS | 2019年 / 7卷
关键词：
D O I：
10.1109/ACCESS.2019.2940175
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Visual surveillance is the latest paradigm for social security through machine intelligence. It includes the use of visual data captured by infrared sensors or visible-light cameras mounted in cars, corridors, traffic signals etc. Visual surveillance facilitates the classification of human behavior, crowd activity, and gesture analysis to achieve application-specific objectives.
引用
收藏
页码：137638 / 137641
页数：4
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