7286

GPU Accelerated Real-Time Object Detection on High Resolution Videos Using Modified Census Transform

Salih Cihan Tek, Muhittin Gokmen
Department of Computer Engineering, Istanbul Technical University, Maslak, Istanbul, Turkey
7th International Joint Conference on Computer vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2012), 2012

@article{tek2012gpu,

   title={GPU ACCELERATED REAL-TIME OBJECT DETECTION ON HIGH RESOLUTION VIDEOS USING MODIFIED CENSUS TRANSFORM},

   author={Tek, S.C. and G{"o}kmen, M.},

   year={2012}

}

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This paper presents a novel GPU accelerated object detection system using CUDA. Because of its detection accuracy, speed and robustness to illumination variations, a boosting based approach with Modified Census Transform features is used. Results are given on the face detection problem for evaluation. Results show that even our single-GPU implementation can run in real-time on high resolution video streams without sacrificing accuracy and outperforms the single-threaded and multi-threaded CPU implementations for resolutions ranging from 640×480 to 1920×1080 by a factor of 12-18x and 4-6x, respectively.
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