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Stream Processing of Integral Images for Real-Time Object Detection

Chris Messom, Andre Barczak
Massey University, Auckland, New Zealand
In PDCAT ’08: Proceedings of the 2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies (2008), pp. 405-412

@conference{messom2008stream,

   title={Stream processing of integral images for real-time object detection},

   author={Messom, C. and Barczak, A.},

   booktitle={2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies},

   pages={405–412},

   year={2008},

   organization={IEEE}

}

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This paper presents the design and evaluation of the stream processing implementation of the Integral Image algorithm. The Integral Image is a key component of many image processing algorithms in particular the Haar-like feature based systems. Modern GPUs provide a large number of processors with a peak floating point performance that is significantly higher than current general CPUs. This results in significant performance improvement when the Integral Image calculation for large input images is offloaded onto the GPU of the system.
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