Paper Info
Title
A surveillance robot with human recognition based on video and audio
Abstract
Household security becomes more and more important with the growth of aged population. A surveillance robot is a potential solution for this issue. In this paper, we present a novel household surveillance robot with human recognition. Since a master-slaver structure and efficient interfaces are used for its hardware, this robot can always make prompt response to the outside information, even though it has integrated a lot of sensors such as audio, video, gas sensors, and moving controllers. To locate the abnormal sound, we use the TDOA (Time Difference of Arrival) method. And in our approach, the haar-like feature and the weighted LBP (Local Binary Patterns) algorithm are employed to detect and recognize faces. When abnormal sound occurs, the robot locates it and turns to the direction and make sure whether a friend or an intruder comes. After testing the rate of success of abnormal events detecting and people recognition, it shows that the robot has a good performance in both our experiments and real environments.
Year
DOI
Venue
2010
10.1109/ROBIO.2010.5723509
ROBIO
Keywords
Field
DocType
face detection,master-slaver structure,household surveillance robot,arrival time difference method,haar-like feature,face recognition,mobile robots,human recognition,household security,audio signal processing,haar transforms,weighted local binary patterns algorithm,video surveillance,acoustics,time difference of arrival,local binary pattern
Population,Facial recognition system,Computer vision,Haar transforms,Local binary patterns,Artificial intelligence,Engineering,Multilateration,Audio signal processing,Robot,Mobile robot
Conference
Volume
Issue
ISBN
null
null
978-1-4244-9319-7
Citations 
PageRank 
References 
0
0.34
5
Authors
6
Name
Order
Citations
PageRank
Zhu Cheng110.69
Xuezhen Zhang211.45
Shiqi Yu368834.74
Yongsheng Ou424342.32
Xinyu Wu551580.44
Yangsheng Xu61541245.29