FPGA-accelerated sliding window classifier with structured features

Certain classification tasks in computer vision require the classifier response to be computed in every pixel of an image. When combined with large, complex features, it becomes challenging to build such a classifier on a standard PC architecture and achieve real-time performance. We present an FPGA implementation of a car wheel classifier response computation, built as an instantiation of a generic classification system. An interesting optimization problem concerning performance and speed is addressed. Our implementation is running in real-time as a part of a more complex collision mitigation system based on car detection in video data.