Real-time visual tracking system modelling in MPSoC using platform based design

Zai Jian Jia; Tomás Bautista; Antonio Núñez; Cayetano Guerra; Mario Hernández

doi:10.1117/12.811332

4 February 2009 Real-time visual tracking system modelling in MPSoC using platform based design

Zai Jian Jia, Tomás Bautista, Antonio Núñez, Cayetano Guerra, Mario Hernández

Proceedings Volume 7244, Real-Time Image and Video Processing 2009; 72440G (2009) https://doi.org/10.1117/12.811332
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

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.

Citation Download Citation

Zai Jian Jia, Tomás Bautista, Antonio Núñez, Cayetano Guerra, and Mario Hernández "Real-time visual tracking system modelling in MPSoC using platform based design", Proc. SPIE 7244, Real-Time Image and Video Processing 2009, 72440G (4 February 2009); https://doi.org/10.1117/12.811332

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KEYWORDS

Detection and tracking algorithms

Chemical elements

Video processing

Optical tracking

Algorithm development

Computing systems

Systems modeling

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