Optimisation of a colour segmentation and tracking algorithm for real-time FPGA implementation
نویسنده
چکیده
This paper concentrates on the optimisations and tradeoffs required to implement a colour segmentation based object tracking algorithm on a small Field Programmable Gate Array (FPGA). The algorithm consists of colour conversion, segmentation and labelling, morphological filtering, and bounding box based object recognition, and is able to track up to 4 independent coloured targets. By optimising and adapting the algorithm, the object tracking module occupies less than 10% of a Spartan 2 FPGA (XC2S200) and operates at a clock frequency of 27 MHz.
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