DocumentCode :
2451063
Title :
Human infrastructure & human activity detection
Author :
Damarla, Thyagaraju ; Kaplan, Lance ; Chan, Alex
Author_Institution :
US Army Res. Lab., Adelphi
fYear :
2007
fDate :
9-12 July 2007
Firstpage :
1
Lastpage :
8
Abstract :
Prior to committing personnel to investigate a building or suspicious site such as a cave, it is imperative to determine the importance and current danger of the site. To this end, sensors on a robotic platform can interrogate the site prior to sending in personnel. This paper investigates methods to exploit multiple sensor modalities in order to automatically 1) detect human presence, and 2) detect human infrastructure and recent human activity. The paper describes 10 experimental scenarios to support these two tasks, demonstrates what type of inference each modality can make, and shows how to fuse the information from all sensors. Experimental results are also provided for the detection of the presence of humans.
Keywords :
robots; sensor fusion; human activity detection; human infrastructure; information fusion; robotic; sensor fusion; sensors; Acoustic sensors; Acoustic signal detection; Humans; Machinery; Personnel; Prototypes; Robot sensing systems; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Sensor fusion; Spatial-temporal processing; human activity; human infrastructure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
Type :
conf
DOI :
10.1109/ICIF.2007.4408122
Filename :
4408122
Link To Document :
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