VideoWeb Dataset for Multi-camera Activities and Non-verbal Communication

被引:26
|
作者
Denina, Giovanni [1 ]
Bhanu, Bir [1 ]
Hoang Thanh Nguyen [1 ]
Ding, Chong [1 ]
Kamal, Ahmed [1 ]
Ravishankar, Chinya [1 ]
Roy-Chowdhury, Amit [1 ]
Ivers, Allen [1 ]
Varda, Brenda [1 ]
机构
[1] Univ Calif Riverside, Riverside, CA 92521 USA
关键词
D O I
10.1007/978-0-85729-127-1_23
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Human-activity recognition is one of the most challenging problems in computer vision. Researchers from around the world have tried to solve this problem and have come a long way in recognizing simple motions and atomic activities. As the computer vision community heads toward fully recognizing human activities, a challenging and labeled dataset is needed. To respond to that need, we collected a dataset of realistic scenarios in a multi-camera network environment (VideoWeb) involving multiple persons performing dozens of different repetitive and non-repetitive activities. This chapter describes the details of the dataset. We believe that this VideoWeb Activities dataset is unique and it is one of the most
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页码:335 / 347
页数:13
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