CODE: C# implementation of a HOG detector on CUDA,compatible with Pedro Felzenszwalb's HOG seamlessly.

Pedersoli Marco; Gonzalez Jordi; Hu Xu; Roca Xavier

CODE: C# implementation of a HOG detector on CUDA,compatible with Pedro Felzenszwalb's HOG seamlessly.

Translated title of the contribution: CUHOG: A HOG implementation in C# on CUDA, which is compatible with Pedro Felzenszwalb's 31-dim HOG seamlessly.: CUDA. C#

Pedersoli Marco, Gonzalez Jordi, Hu Xu, Roca Xavier

Department of Computer Science

Research output: Non-textual form › Software › Research

Abstract

This implementation is based on fastHOG [1] and groundHOG [2]. Our real-time object detection system will be released in next version associated with the Coarse-to-fine [3]. An example with matlab interface will also give. Currently, for a 640x480 image takes only 50 ms in average and the real-time object detection can achieve 10 FPS in GTX560 and 2.6GHZ 4-core CPU.

Translated title of the contribution	CUHOG: A HOG implementation in C# on CUDA, which is compatible with Pedro Felzenszwalb's 31-dim HOG seamlessly.: CUDA. C#
Original language	Undefined/Unknown
Publication status	Published - 30 Sept 2013

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title = "CODE: C# implementation of a HOG detector on CUDA,compatible with Pedro Felzenszwalb's HOG seamlessly.",

abstract = "This implementation is based on fastHOG [1] and groundHOG [2]. Our real-time object detection system will be released in next version associated with the Coarse-to-fine [3]. An example with matlab interface will also give. Currently, for a 640x480 image takes only 50 ms in average and the real-time object detection can achieve 10 FPS in GTX560 and 2.6GHZ 4-core CPU.",

author = "Pedersoli Marco and Gonzalez Jordi and Hu Xu and Roca Xavier",

year = "2013",

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day = "30",

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T1 - CODE: C# implementation of a HOG detector on CUDA,compatible with Pedro Felzenszwalb's HOG seamlessly.

AU - Marco, Pedersoli

AU - Jordi, Gonzalez

AU - Xu, Hu

AU - Xavier, Roca

PY - 2013/9/30

Y1 - 2013/9/30

N2 - This implementation is based on fastHOG [1] and groundHOG [2]. Our real-time object detection system will be released in next version associated with the Coarse-to-fine [3]. An example with matlab interface will also give. Currently, for a 640x480 image takes only 50 ms in average and the real-time object detection can achieve 10 FPS in GTX560 and 2.6GHZ 4-core CPU.

AB - This implementation is based on fastHOG [1] and groundHOG [2]. Our real-time object detection system will be released in next version associated with the Coarse-to-fine [3]. An example with matlab interface will also give. Currently, for a 640x480 image takes only 50 ms in average and the real-time object detection can achieve 10 FPS in GTX560 and 2.6GHZ 4-core CPU.

M3 - Software

ER -

CODE: C# implementation of a HOG detector on CUDA,compatible with Pedro Felzenszwalb's HOG seamlessly.

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