Opencv 3.2, and Deep Regression Networks Opencv 3.2 is out. I am just checking the change log. What is inside from the my point of view ? The tuns of improvement are mainly in opencv_contrib modules Github fork is here . There is several thinks that should be mentioned. For example GOTURN tracker. Is also part of the opencv_contrib fork under the tracking modules.. Goturn is convolutional neural network based tracking algorithm. More information should be also found on Learning to Track at 100 FPS with Deep Regression Networks . Deep Regression Networks (goturn basic information) In opposite to online learning (for example first version of TLD that using warp path of negative example and geometric transformation over positive sample) the proposed DRN (Deep regression networks) using somehow pretrained feed-forward network without online learning. The authors pre-train algorithms on many different video samples called generic object tracking. Let say there is a video

The blog is full of OpenCV source code, tutorials, tips, tricks, and from basics to advanced streaming and video processing. The code examples are from C++. Most of the tutorials are dedicated to basics C++ OpenCV image processing, people detection from LBP haar cascades to modern deep learning. The tutorials are as well dealing with GStreamer OpenCV integration to be able to stream OpenCV output as a video stream to the web.