Abstract
This paper proposes a new type of emergency response system that can detect an emergency situation using vision based human action recognition with collaborative mobile robots to deal with emergency situations. A vision-based emergency detection scheme that can detect suspicious situations by analyzing image sequences from a surveillance camera is developed. After detecting a human in image sequences, the detected human regions are tracked and human actions are then recognized using a motion history image and a neural network. When an emergency occurs, a mobile robot is sent to the emergency site to diagnose the situation at close distance. After reaching the target location, the robot transfers information on the situation such as sound and images.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aggarwal, J.K., Cai, Q.: Human Motion Analysis: A Review. Computer Vision and Image Understanding (CVIU) 73(3), 428–440 (1999)
Pineau, J., Montemerlo, M., Pollack, M., Roy, N., Thrun, S.: Towards robotic assistants in nursing homes:Challenges and results. Robotics and Autonomous Systems 42, 271–281 (2003)
Yujinrobot iClebo, http://iclebo.com/english
Dasarobot Genibo, http://www.genibo.com
Jeong, I.W., Choi, J., Cho, K., Seo, Y.H., Yang, H.S.: A Vision-Based Emergency Response System with a Paramedic Mobile Robot. IEICE Transactions on Information and Systems E93-D(7), 1745–1753 (2010)
Almeida, O., Helander, J., Nielsen, H., Khantal, N.: Connecting Sensors and Robots through the Internet by Integration Microsoft Robotics Studio and Embedded Wen Services. In: Proceeding of IADIS International Conference (2007)
Microsoft Robotics Developer Center, http://msdn.microsoft.com/robotics
NET Framework Developer Center, http://msdn.microsoft.com/netframework
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Seo, YH., Yang, H.S. (2011). Emergency Response System Using a Surveillance Camera with Collaborative Multiple Robots. In: Lee, G., Howard, D., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2011. Lecture Notes in Computer Science, vol 6935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24082-9_62
Download citation
DOI: https://doi.org/10.1007/978-3-642-24082-9_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24081-2
Online ISBN: 978-3-642-24082-9
eBook Packages: Computer ScienceComputer Science (R0)