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 special purpose hardware.
Original language | English |
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Pages (from-to) | 157-168 |
Number of pages | 12 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 3209 |
DOIs | |
State | Published - 1997 |
Event | Sensor Fusion and Decentralized Control in Autonomous Robotic Systems - Pittsburgh, PA, United States Duration: Oct 14 1997 → Oct 14 1997 |
Keywords
- 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