Human Life Detection Using Robot

Saurabh Jadhav; Aditya Nadkarni; Amber Haidery; Prathamesh Monde

“Thousand of persons killed as a cause of earthquake”. The above words aren’t the headlines of the newspaper but such news come after the disaster destroyed the field. The disaster in the New York City at ‘World Trade Center’ claimed lives of more than 5000 people. It was said if survivors has been found and rescue earlier the numbers of victims have been lower. There is no end to the number of lives lost as the result of such disasters as landslides, collapsed tunnels and avalanches. In this paper a robust system for enabling robots to detect and identify humans in domestic environments is proposed. Robust human detection is achieved through the use of thermal and visual information sources that are integrated to detect human-candidate objects, which are further processed in order to verify the presence of humans and their identity using face information in the thermal and visual spectrums. Active vision mechanisms are employed in order to improve the relative pose of a candidate object/person in case direct identification is not possible. The response of the different modules is characterized, and the proposed system is validated using image databases of real domestic environments, and human detection and identification benchmarks of the RoboCup@Home research community.

Select Volume / Issues:

• Volume 3 Issue 6, Nov. 2012

Year:

2012

Type of Publication:

Article

Keywords:

Human Detection; Life Detection; Robot; Sensors

Journal:

IJECCE

Volume:

3

Number:

6

Pages:

1591-1593

Month:

November