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This paper presents a model for real-time computer vision applications based on the synchronous dataflow (SDF) methodology. To accomplish the needs of computer vision applications (mainly access to pixel neighborhood and access to previous video frames) a new buffer concept called Structured Buffers replaces the FIFO buffers used in the SDF model. The model minimizes the system's latency and memory consumption and allows an execution time analysis which is an essential prerequisite for real-time applications. Finally a line-based edge vectorization is presented as an example of the usage of the presented model.