[OpenCV] vd

Description: this code for vehilce dectection.
Platform: | Size: 59392 | Author: Chang | Hits:

[OpenCV] ROI

Description: selection of the region of interest of the image and processing
Platform: | Size: 1024 | Author: y | Hits:

[OpenCV] ROI1

Description: In the images together to choose their own area of interest and, in this area for image processing
Platform: | Size: 1024 | Author: y | Hits:

[OpenCV] lkpf

Description: Based on the passing of the Law OpenCV algorithm to track moving objects using C++ language
Platform: | Size: 4096 | Author: chen | Hits:

[OpenCV] cameraCalibration

Description: Zhang Zhengyou calibration procedures, almost every line has a comment. And with a checkerboard map, as well as individuals to re-shoot a color calibration diagram
Platform: | Size: 9562112 | Author: 江涛 | Hits:

[OpenCV] bgfg_segm

Description: Connected to the video, it will first make the detection of environmental background define the background, after which the video screen from the background of the prospects for real-time segmentation
Platform: | Size: 8192 | Author: esprit1203 | Hits:

[OpenCV] face_counting

Description: Using opencv made face counting, the film can be calculated the number of pedestrian' s face ~
Platform: | Size: 3358720 | Author: esprit1203 | Hits:

[OpenCV] framediff

Description: A practical camera image subtraction procedure
Platform: | Size: 15360 | Author: esprit1203 | Hits:

[OpenCV] tutorial2

Description: This tutorial shows how to capture images from a camera, display them in a window, and save them. Remember to link with the cv and highgui libraries when building.
Platform: | Size: 108544 | Author: esprit1203 | Hits:

[OpenCV] tutorial3

Description: This tutorial shows how to capture a sequence of images from a camera and convert them to a video using ffmpeg. We make sure to measure the capture frame rate so that we can tell ffmpeg how fast the video should run.
Platform: | Size: 108544 | Author: esprit1203 | Hits:

[OpenCV] congealReal.1.0

Description: Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Generally, this positioning is done either
Platform: | Size: 20480 | Author: doushuai | Hits:

[OpenCV] congealReal.1.0.tar

Description: Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Generally, this positioning is done either
Platform: | Size: 18432 | Author: doushuai | Hits: