opencv face detection

Reference: Pedestrian detection using hog features and SVM Classifier:Http://blog.csdn.net/carson2005/article/details/7841443 Hog + SVM has excellent Pedestrian detection effects due to its characteristics, but it also has good effects on other targets. Here we will expand the scope. Carson2005's blog article describes how to use opencv to implement sample trai

The interaction between humans and robots constantly evolve and adopt different tools and software to increase the comfort of humans. In this article, I explore nine tutorials which show you different methods to detect and recognize hand. The OpenCV library is not enough to start your project. This library provides for you the software side, but for you also need hardware. In the hardware category enters a developed platform able to run the

, and the method of integrating graph can accelerate the solution of the value of the class Haar feature.One of the most basic class Haar features is a rudimentary weak classifier, which is optimized after the weak classifier is called the optimized weak classifier.A strong classifier is formed by combining multiple optimized weak classifiers.But the application of a single strong classifier is not good in actual detection,So it was proposed to cascad

I have previously introduced a Article on target detection using cascading classifier skip. We found that the Haar features in the library of opencv are only human faces, human organs, and human bodies. Recently, we wanted to perform a human hand detection. We used color features to make it very unreliable, try again with the Haar feature this time. In this cas

Cvcanny function of Image edge detection--OPENCV Category: C/ void Cvcanny (const cvarr* image, cvarr* edges, double threshold1, double threshold2, int aperture_size=3); Image single-channel input images. Edges the output image of a single-channel storage edge threshold1 The first threshold threshold2 the second threshold Aperture_sizesobel operator kernel size (see Cvsobel). The function Cvcanny uses the C

Note: This article is translated from: pedestrian detection OpenCV. Do you know the built-in pedestrian detection method inside the OpenCV? In OpenCV, there is a hog+ linear SVM model that can detect pedestrians in images and videos. If you are not familiar with the directio

All right, guys, I'm back. Say I drag more not to write the article can come over with your little blasted to whack my chest ....So today we are going to use python+opencv+face++ for face verification and face unlocking. The same amount of code, you can use the code in some other areas of intelligence, such as smart ho

than the minimum confidence If confidence > args["confidence"]: # Extract the index of the class label from the ' detections ', # then compute the (x, y)-coordinates of the bounding box for # the object idx = Int (det Ections[0, 0, I, 1]) box = detections[0, 0, I, 3:7] * Np.array ([w, H, W, H]) (StartX, Starty, EndX , EndY) = Box.astype ("int") # Display the prediction label = ' {}: {:. 2f}% '. Format (Classes[idx], C Onfidence *) Print ("[INFO] {}". Format (label)) Cv2.rectangle (f

Document directory 1) load the cascade classifier 2) read Video Streams 3) use this classifier for each frame 4) display the target The target detection method supported by opencv is the classifier training based on the Haar feature of the sample to obtain the cascade boosted classification ). Note: In addition to haar features, the new C ++ interface can also use the HSV features. First, we will in

Tags: des style blog HTTP color OS ar use Feature Points, also known as points of interest and key points, are highlighted and representative points in the image. Through these points, we can identify images, perform image registration, and perform 3D reconstruction. This article mainly introduces several functions in opencv to locate and represent key points. I. Harris corner A corner is the most basic key point in an image. It is composed of s

Navneet Dalal's OLT workflow description ByOpencviv» 2010-01-23 4: 23Navneet Dalal provides INRIA on the following websites Object Detection and localization Toolkit Http://pascal.inrialpes.fr/soft/olt/Wilson suryajaya leoputra provides its Windows VersionHttp://www.computing.edu.au /~ 12482661/hog.htmlCopy all the DLL's (boost_1.34.1 *. dll, blitz_0.9.dll, opencv *. dll) into " Navneet Dalal provides exec

OPENCV provides two programs that can train their own cascading classifiers opencv_haartraining and Opencv_traincascade. Opencv_traincascade is a new program that is written in C + + using the OpenCV 2.x API. The main difference is that Opencv_traincascade supports both Haar and LBP (local Binary Patterns), and it is easy to add other features. Compared with the Haar feature, LBP features are integer featur

The realization of vehicle detection and tracking based on OpenCV Http://www.cnblogs.com/yanneu/p/6251892.html Recently, the teacher assigned a job, is to do a video-based vehicle detection and tracking, with about two weeks of time to do a simple, the effect is not ideal, but can not suppress some of their own knowledge to write down, here to put some blog on t

Document directory 1.1 cvkan 1.2 cvCreateTrackbar 1.3 CvTrackbarCallback [OpenCV Getting Started Guide] Part 3 "Canny edge detection" The principle of image edge detection is to detect all the gray-scale points in the image, and these points are connected to form several lines, which can be called the edge of the image. A multi-level edge

Image algorithm Test IteratoralgorithmfeaturesOriginal articles, reproduced please specify the source: http://blog.csdn.net/crzy_sparrow/article/details/7391511Article directory:First, Harris Angle point detection basic theorySecond, OPENCV code implementationThird, improved Harris corner point detectionFour, fast corner point detectionV. ReferencesVi. Appendices (information and source code)First, Harris C

In the previous article, "OpenCV feature2d learning--surf and SIFT operators to achieve feature point detection", the use of SIFT and surf operators for feature point detection, here is trying to use fast operator for feature point detection.Fast's full name is:Features from Accelerated Segment test, the main feature values are fast, much faster than other known

In the. \ opencv \ doc \ vidsurv folder, there are three doc FILES: blob_tracking_modules, blob_tracking_tests, and testseq. Among them, blob_tracking_modules must be read in detail. "FG/BG Detection"Module into msforeground/background segmentation for each pixel. "Blob entering Detection"Module uses theresult (fg/BG mask) of" fg/BG

resources on the Internet to help you understand this great edge detection algorithm. Threshold selection, to try to choose the low threshold!!! Because if the threshold selection is too high, it causes the outer quadrilateral of the invoice to be unclosed, which prevents the contour line from being found correctly. Although the low threshold value produces a lot of noise, the noise will be ignored in subsequent steps because contour

"OpenCV Getting Started" chapter III Canny edge detection The image edge detection principle is to detect the image of all the gray value changes in the larger point, and these points are connected to form a number of lines, these lines can be called the edge of the image. The canny edge detection operator is a multi-

Recently began to learn OPENCV, want to detect the ring on the picture, found that Hough transform can do such an effect, so try to use the Opencv3 Hough transform to do the next ring detection. OpenCV in the Hough transform function: The first parameter, the Inputarray type of image, is the 8-bit grayscale single-channel image, which is the source image.The se