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Title: Untitled2 Download
 Description: This example shows how to perform automatic detection and motion-based tracking of moving objects in a video a stationary camera. Copyright 2014 The MathWorks, Inc. Detection of moving objects and motion-based tracking are important components of many computer vision applications, including activity recognition, traffic monitoring, and automotive safety. The problem of motion-based object tracking can be divided into two parts: # detecting moving objects in each frame # associating the detections corresponding to the same object over time The detection of moving objects uses a background subtraction algorithm based on Gaussian mixture models. Morphological operations are applied to the resulting foreground mask to eliminate noise. Finally, blob analysis detects groups of connected pixels, which are likely to correspond to moving objects. The association of detections to the same object is based solely on motion. The mo
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