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Locating radar simulation program

Is written in MATLAB locate a radar simulation program with gui interface is very good, friendly interface, it is suitable for everyone used to learn, especially want to learn programming in MATLAB gui people....

Combined camshift and Kalman

The camshift shortcomings, advantages of using Kalman, predict later withered camshift, keeps track of the target, which makes tracking camshift works well...

Images defogging algorithm

Attachments that contain a variety of different images defogging code dark channel fog SSR,MSR,MSRCR,Tara fog, dark channel bilateral filtering fog, joint bilateral filter fog dark primary colors and so on. Apply images defogging learn algorithms....

Enhanced particle filter multi-target tracking

Tracking non rigid objects with different number of two main issues.Firstly, the distribution of observation model and target may beThe degree of nonlinearity and non Gauss. Second, a large number ofdifferent number of objects exist to...

Vehicle detection based on VC++

Vehicle Detection: a recognition of the vehicle contour, and that the vehicle contour 2 shows the relative speed of the vehicle, after testing, the actual available....

Tensor voting method

Using tensor voting methods to extract rocker characteristics of objects in images, mainly for extraction of the contours of the building perimeter. Details of this in big data analysis local plays an active role...

Camshift target tracking

camshift target tracking, target tracking, and the target window is adjusted according to the size of the target tracking, tracking better, no bug, is I do experiments to write code....

C++ human face detection and location

C++ implementation of face detection and recognition functions, mainly using HOG feature-based face detection, neural network learning algorithm based on training data to achieve the facial feature detection and localization features of the site. Code contains the entire project, you can run, well,...

Digital Identification System

Instructions for use: The first step: training network. Using the training samples for training. (This program may not training because I have to save up the trained network parameters, when the reader can be used in direct recognition) Step Two: Identify.   First, open the image...

ASM for face recognition

For people face detection of people face samples prepared, usually needs manual from image in the interception people face regional, to program robustness of consider, generated of people face samples needs also to has must angle of rotating; on based on statistics training of image automatically ca...

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