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

来源：

DISTRIBUTED VIDEO SENSOR NETWORKS | 2011年

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

引用

页码：335 / 347

页数：13