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Proceedings Paper

Multiple target tracking across reliable multicast wireless networks
Author(s): James Griffioen; W. Brent Seales; Rajendra Yavatkar
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Paper Abstract

This paper presents a novel approach to high-performance video processing that avoids the use of special purpose hardware and achieves parallelism via a distributed system of high- performance workstations. An efficient network protocol allows mobile computers or mobile robots to remotely access the distributed video processing system over low-bandwidth wireless links. Despite the lack of special purpose hardware and expensive computing equipment, the system provides exceptional performance processing data at speeds that approach real-time. The novel contribution of our approach is the ability to process video in compressed format and efficiently distribute video data to a distributed system of workstations for processing. We describe the algorithms employed to achieve these features and demonstrate our approach by showing how it can be applied to two problem domains: multiple target tracking and video archive searching. We present experimental results that show that video data can be efficiently disseminated to a network or workstations with only a small (7%) increase in transfer time. We also show that processing can be performed efficiently (20 fps) directly on the compressed video without social purpose hardware.

Paper Details

Date Published: 22 September 1997
PDF: 12 pages
Proc. SPIE 3209, Sensor Fusion and Decentralized Control in Autonomous Robotic Systems, (22 September 1997); doi: 10.1117/12.287634
Show Author Affiliations
James Griffioen, Univ. of Kentucky (United States)
W. Brent Seales, Univ. of Kentucky (United States)
Rajendra Yavatkar, Intel Corp. (United States)

Published in SPIE Proceedings Vol. 3209:
Sensor Fusion and Decentralized Control in Autonomous Robotic Systems
Paul S. Schenker; Gerard T. McKee, Editor(s)

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