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Moving object detection based on Gaussian mixture model

Moving target detection based on Gaussian mixture model, MATLAB is written can track moving object in the video image, and mark....

TLD video real time tracking

TLD (Tracking-Learning-Detection) is a United Kingdom University of Surrey's Czech doctoral students in its doctoral degrees during a long new single purpose (long term tracking) tracking. This algorithm differs from traditional tracking significant traditional tracking and detection algor...

MATLAB video tracking

I am a novice in the online video-based dynamic tracking matlab program, the program now share with you.This program contains a video clip, the source code can be directly probation for beginners.Including source filesrun.mrunzhushi.mtracking.mtrackingzhushi.mVideo Case: SampleVideoProgram is small,...

Particle filter based on frame difference method is used to track the target.

Application backgroundThe so-called particle filter is to find a set of random samples in the state space to approximate the probability density function, using the sample mean instead of integral calculation, and then obtain the system state of the minimum variance estimation process, the image of...

MATLAB basic differential evolution algorithm

Differential evolution algorithms written in MATLAB language, make up for the shortcomings of ordinary finite difference algorithm for, makes the extraction of the image closer to the facts of the situation. Algorithm for streamlining, has the certain reference value. Suitable for beginners to learn...

De-interlacing procedures, suitable for beginners to learn

Deinterlacing procedure code easy for beginners to refer to the study. Including average algorithm for linear and bilinear algorithms, even and odd field to select the output method, MADM algorithm, AMMC,NAMMC algorithm, IAA algorithm....

Incremental Learning for Robust Visual Tracking

In this project we make use of the new appearance information that comes available during tracking to incrementally improve a subspace appearance model of the target. The key to this algorithm is a novel incremental algorithm for PCA, allowing for efficient subspace updates....


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