OpenCV with Python Blueprints by unknow

Author:unknow
Language: eng
Format: epub
Publisher: Packt Publishing

Traditional models might try to associate particular features with each target (much like our feature matching approach in Chapter 3, Finding Objects via Feature Matching and Perspective Transforms), which would convert the problem to the detection of specific categories or objects. However, these models require manual labeling and training. But what if the features or the number of the objects to track is not known?

Instead, we will try to mimic what the brain does, that is, tune our algorithm to the statistics of the natural images, so that we can immediately locate the patterns or sub-regions that "grab our attention" in the visual scene (that is, patterns that deviate from these statistical regularities) and flag them for further inspection. The result is an algorithm that works for any number of proto-objects in the scene, such as tracking all the players on a soccer field. Refer to the following image:

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.