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Proceedings Paper

Real-time visual tracking system modelling in MPSoC using platform based design
Author(s): Zai Jian Jia; Tomás Bautista; Antonio Núñez; Cayetano Guerra; Mario Hernández
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Paper Abstract

In this paper, we present the modelling of a real-time tracking system on a Multi-Processor System on Chip (MPSoC). Our final goal is to build a more complex computer vision system (CVS) by integrating several applications in a modular way, which performs different kind of data processing issues but sharing a common platform, and this way, a solution for a set of applications using the same architecture is offered and not just for one application. In our current work, a visual tracking system with real-time behaviour (25 frames/sec) is used like a reference application, and also, guidelines for our future CVS applications development. Our algorithm written in C++ is based on correlation technique and the threshold dynamic update approach. After an initial computational complexity analysis, a task-graph was generated from this tracking algorithm. Concurrently with this functionality correctness analysis, a generic model of multi-processor platform was developed. Finally, the tracking system performance mapped onto the proposed architecture and shared resource usage were analyzed to determine the real architecture capacity, and also to find out possible bottlenecks in order to propose new solutions which allow more applications to be mapped on the platform template in the future.

Paper Details

Date Published: 4 February 2009
PDF: 10 pages
Proc. SPIE 7244, Real-Time Image and Video Processing 2009, 72440G (4 February 2009); doi: 10.1117/12.811332
Show Author Affiliations
Zai Jian Jia, Univ. de Las Palmas de Gran Canaria (Spain)
Tomás Bautista, Univ. de Las Palmas de Gran Canaria (Spain)
Antonio Núñez, Univ. de Las Palmas de Gran Canaria (Spain)
Cayetano Guerra, Univ. de Las Palmas de Gran Canaria (Spain)
Mario Hernández, Univ. de Las Palmas de Gran Canaria (Spain)


Published in SPIE Proceedings Vol. 7244:
Real-Time Image and Video Processing 2009
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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