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In this paper, we present the strategy for evaluating the performance of a variety of configurations of an architecture template for a computer vision system (CVS). For this study a generic model of an architecture is used to address the modular design of the CVS. This modular nature approach could be used to build a more complex system by integrating several applications which perform different kind of data processing issues but sharing a common architecture. In our current work, a visual tracking system with real-time behaviour (25 frames/sec) is modelled and mapped on the model of a pipelined multiprocessor platform. The tracking system performance 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.