Award Abstract #0237516
CAREER: Distributed Active Processing on Hundred-Camera Networks (DAPHNE)

NSF Org:	IIS Division of Information & Intelligent Systems
Initial Amendment Date:	March 17, 2003
Latest Amendment Date:	January 3, 2007
Award Number:	0237516
Award Instrument:	Continuing grant
Program Manager:	Kenneth C. Whang IIS Division of Information & Intelligent Systems CSE Directorate for Computer & Information Science & Engineering
Start Date:	March 15, 2003
Expires:	February 28, 2009 (Estimated)
Awarded Amount to Date:	$411615
Investigator(s):	Richard Radke rjradke@ecse.rpi.edu (Principal Investigator)
Sponsor:	Rensselaer Polytechnic Institute 110 8TH ST Troy, NY 12180 518/276-6000
NSF Program(s):	ROBUST INTELLIGENCE, COMPUTER VISION, ROBOTICS
Field Application(s):	0104000 Information Systems, 0116000 Human Subjects
Program Reference Code(s):	HPCC, 9216, 1187, 1045
Program Element Code(s):	7495, 7339, 6840

ABSTRACT

It is proposed to develop a new framework for the distributed processing of images from networks of literally hundreds of cameras, for which no calibration is known in advance and in which cameras may freely appear, disappear, and move about. Conventional computer vision methods are not adequate for such networks, because they assume a small, fixed number of stationary cameras that can be centrally, simultaneously processed. We will study distributed solutions for both calibration (computing absolute and relative camera positions) and computer vision problems (such as view synthesis) in large dynamic camera networks.

This research has broader impacts in the design and effectiveness of the camera networks that will be ubiquitous in the city streets, airports, and battlefields of the 21st century. Such networks will be crucial for automatically monitoring and extracting information from environments where the safety and security of human lives are at stake. Our goal is to develop the models, algorithms, and applications that will form the foundations of the new field of dynamic camera networks.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

(Showing: 1 - 5 of 5).

A. Cheriyadat and R.J. Radke.  "Automatically Determining Dominant Motions in Crowded Scenes by Clustering Partial Feature Trajectories,"  Proceedings of the First ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC-07),  2007, 

D. Devarajan and R. Radke.  "Calibrating Distributed Camera Networks Using Belief Propagation,"  EURASIP Journal on Advances in Signal Processing: Special Issue on Visual Sensor Networks,  v.2007,  2007, 

D. Devarajan and R.J. Radke.  "Distributed Metric Calibration of Large Camera Networks,"  Proceedings of the First Workshop on Broadband Advanced Sensor Networks (BASENETS) 2004 (in conjunction with BroadNets 2004), October 25, 2004, San Jose, CA.,  2004,  p. 1.

D. Devarajan, R. Radke, and H. Chung.  "Distributed Metric Calibration of Ad-Hoc Camera Networks,"  ACM Transactions on Sensor Networks,  v.2,  2006,  p. 380.

Z. Cheng, D. Devarajan, and R. Radke.  "Determining Vision Graphs for Distributed Camera Networks Using Feature Digests,"  EURASIP Journal on Advances in Signal Processing: Special Issue on Visual Sensor Networks,  v.2007,  2007, 


(Showing: 1 - 5 of 5).

Please report errors in award information by writing to: awardsearch@nsf.gov.