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Vehicle detection based on Haar
4.0
Application background Application of the vehicle detection in the intersection camera, Kinect and other equipment, is based on the Haar provided by the OpenCV vehicle detection. The program contains the trained vehicle classifier car3.xml, can be directly loaded for vehicle detection. This program contains the vehicle and face detection. Key Technology The algorithm is similar to face detection, replace the trained vehicle classifier XML, running environment: vs201x+opencv2.4.x. This program contains the vehicle and face detection.
hyacinthkiss 12 0
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Pedestrian detection based on HOG
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Application background pedestrian detection for OpenCV, Kinect,, HOG,, pedestrain,, is a kind of pedestrian detection (detection).. The program contains two segments of code, using HOG OpenCV pedestrian detection class to complete the pedestrian detection in the picture sequence. Two different sizes for the detection of different picture effect is not the same. For the MIT pedestrian library picture is small, with second good; for the detection of the big picture is the first good. Key Technology & nbsp; & nbsp; & nbsp; & nbsp; hog feature descriptor (hog descriptors) is by navneet DALAL and bill Triggs referred to in 2005 of a pedestrian detection method of the feature descriptor. The main idea is to calculate the statistical value of the directional information of the local image gradient, as the local eigenvalues of the image.. The main steps are:After the normalized images, because we do not help color data, so the
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