DocumentCode :
2428763
Title :
Intelligent activity detection techniques for advanced HD video surveillance systems
Author :
Nair, Rohit ; Bing, Benny
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2010
fDate :
12-14 April 2010
Firstpage :
1
Lastpage :
5
Abstract :
Video surveillance systems are becoming increasingly popular due to the emergence of high-speed wireless Internet (such as WiMax and LTE), bandwidth-efficient video compression schemes (such as H.264), and low-cost (and high-resolution) IP video cameras. This paper presents two applications of an advanced surveillance system, specifically in suspicious activity detection and human fall detection, for both indoor and outdoor environments. The implemented prototype captures and analyzes live high-definition (HD) video that is streamed from a remote camera. We will show that by combining the strengths of ellipse modeling and shadow removal, and other novel algorithms, the false alarms in the detection can be significantly reduced.
Keywords :
video coding; video surveillance; advanced HD video surveillance systems; bandwidth-efficient video compression schemes; high-speed wireless Internet; intelligent activity detection techniques; Cameras; High definition video; Humans; Internet; Object detection; Prototypes; Streaming media; Video compression; Video surveillance; WiMAX; Activity Detection; H.264; Video Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sarnoff Symposium, 2010 IEEE
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-5592-8
Type :
conf
DOI :
10.1109/SARNOF.2010.5469732
Filename :
5469732
Link To Document :
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