Felzenszwalb HOG(FHOG) Feature Extractor for C++.
FHOG is widely used in object tracking and object detection. @joaofaro offers C++ implementation along with his KCF tracker. This implementation uses OpenCV 1 data structure. Besides, feature map memory is not automatically released.
This repository rewrite the FHOG code in C++ with OpenCV3.
- OpenCV 3+(OpenCV2 should work, but not tested)
#include "fhog.h"
...
FHOG fhogDescripter;
// This can be called before your caculation.
// If this function is called before actual calculation,
// many internel Mats will be pre-allocated.
// When you are calculating fixed size FHOG, this function
// is useful. If you don't want to call this function,
// it is still OK because compute function will still call
// it automatically.
fhogDescripter.static_Init(img.size(), 4);
cv::Mat feat;
// Compute the FHOG feature
fhogDescripter.compute(img, feat, 4, 0.2);
...
If you only need to use fhog, copy include/fhog.h and src/fhog.cpp to your workspace.
WARNING: include/fhog1.hpp and src/fhog2.cpp are original FHOG used to test performance.
According to our test, our implementation is about 26% faster than original work(fixed size);
Time Consumptioin:
| Original | New |
|---|---|
| 4.96s | 3.66s |
* Test Condition: 640x512 Gray Image, 500 times