Multiple target tracking across reliable multicast wireless networks

James Griffioen, W. Brent Seales, Rajendra Yavatkar

Research output: Contribution to journalConference articlepeer-review


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 special purpose hardware.

Original languageEnglish
Pages (from-to)157-168
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1997
EventSensor Fusion and Decentralized Control in Autonomous Robotic Systems - Pittsburgh, PA, United States
Duration: Oct 14 1997Oct 14 1997


  • Multicast
  • Multimedia
  • Recognition
  • Wireless

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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