Modeling of Multi-Image/Video Flow on a Multiprocessor Surveillance System-Reference-Cited by-同舟云学术

Modeling of Multi-Image/Video Flow on a Multiprocessor Surveillance System

Published:2013-01 Issue:1 Volume:1 Page:1-15
ISSN:2166-7241
Container-title:International Journal of Monitoring and Surveillance Technologies Research
language:en
Short-container-title:

Author:

Tsitsoulis Athanasios¹,Bourbakis Nikolaos¹

Affiliation:

1. Assistive Technologies Research Center (ATRC), College of Engineering and Computer Science, Wright State University, Dayton, OH, USA

Abstract

DIAS is a distributed, multiprocessor picture information system architecture. It consists of four main cooperating parts (Input-Preprocessing; Planning-Control; Image Processing/Analysis/Understanding; Backend). The performance of the DIAS system is mainly based on the performance of the Image Processing/Analysis/Understanding (IA) section, which is a multiprocessor array structure. Thus, the functional modeling of the IA section can provide a satisfactory picture of the overall DIAS system function. The analytical model is used to evaluate what parameters are involved in the Image Analysis array structure. Experimental results demonstrate its performance in strenuous conditions and its ability to guarantee real-time constraints.

Publisher

IGI Global

Reference17 articles.

1. Computer Architecture: Challenges and Opportunities for the Next Decade

2. A class of generalized stochastic Petri nets for the performance evaluation of multiprocessor systems

3. Real-time image processing on a custom computing platform

4. Baruah, S., & Fisher, N. (2006). The feasibility analysis of multiprocessor real-time systems. In Proceedings of the 18th Euromicro Conference on Real-Time Systems (p. 10).

5. Networks on chips: a new SoC paradigm