Paper Info
Title
A Vision-Based Emergency Response System With A Paramedic Mobile Robot
Abstract
Detecting emergency situation is very important to a surveillance system for people like elderly live alone. A vision-based emergency response system with a paramedic mobile robot is presented in this paper. The proposed system is consisted of a vision-based emergency detection system and a mobile robot as a paramedic. A vision-based emergency detection system detects emergency by tracking people and detecting their actions from image sequences acquired by single surveillance camera. In order to recognize human actions, interest regions are segmented from the background using blob extraction method and tracked continuously using generic model. Then a MHI (Motion History Image) for a tracked person is constructed by silhouette information of region blobs and model actions. Emergency situation is finally detected by applying these information to neural network. When an emergency is detected, a mobile robot can help to diagnose the status of the person in the situation. To send the mobile robot to the proper position, we implement mobile robot navigation algorithm based on the distance between the person and a mobile robot. We validate our system by showing emergency detection rate and emergency response demonstration using the mobile robot.
Year
DOI
Venue
2010
10.1587/transinf.E93.D.I745
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Keywords
Field
DocType
emergency response, mobile robot, human action recognition, object tracking
Computer vision,Computer science,Silhouette,Vision based,Video tracking,Surveillance camera,Artificial intelligence,Mobile robot navigation,Artificial neural network,Mobile robot
Journal
Volume
Issue
ISSN
E93D
7
1745-1361
Citations 
PageRank 
References 
4
0.61
11
Authors
5
Name
Order
Citations
PageRank
Ilwoong Jeong171.89
Jin Choi2101.38
Kyusung Cho3457.29
Yong-Ho Seo44316.26
Hyun Seung Yang520034.21