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- /*M///////////////////////////////////////////////////////////////////////////////////////
- //
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- // By downloading, copying, installing or using the software you agree to this license.
- // If you do not agree to this license, do not download, install,
- // copy or use the software.
- //
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- // License Agreement
- // For Open Source Computer Vision Library
- //
- // Copyright (C) 2014, OpenCV Foundation, all rights reserved.
- // Third party copyrights are property of their respective owners.
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- // Redistribution and use in source and binary forms, with or without modification,
- // are permitted provided that the following conditions are met:
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- // * Redistribution's of source code must retain the above copyright notice,
- // this list of conditions and the following disclaimer.
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- //M*/
- #ifndef __OPENCV_SALIENCY_HPP__
- #define __OPENCV_SALIENCY_HPP__
- #include "opencv2/saliency/saliencyBaseClasses.hpp"
- #include "opencv2/saliency/saliencySpecializedClasses.hpp"
- /** @defgroup saliency Saliency API
- Many computer vision applications may benefit from understanding where humans focus given a scene.
- Other than cognitively understanding the way human perceive images and scenes, finding salient
- regions and objects in the images helps various tasks such as speeding up object detection, object
- recognition, object tracking and content-aware image editing.
- About the saliency, there is a rich literature but the development is very fragmented. The principal
- purpose of this API is to give a unique interface, a unique framework for use and plug sever
- saliency algorithms, also with very different nature and methodology, but they share the same
- purpose, organizing algorithms into three main categories:
- **Static Saliency**: algorithms belonging to this category, exploit different image features that
- allow to detect salient objects in a non dynamic scenarios.
- **Motion Saliency**: algorithms belonging to this category, are particularly focused to detect
- salient objects over time (hence also over frame), then there is a temporal component sealing
- cosider that allows to detect "moving" objects as salient, meaning therefore also the more general
- sense of detection the changes in the scene.
- **Objectness**: Objectness is usually represented as a value which reflects how likely an image
- window covers an object of any category. Algorithms belonging to this category, avoid making
- decisions early on, by proposing a small number of category-independent proposals, that are expected
- to cover all objects in an image. Being able to perceive objects before identifying them is closely
- related to bottom up visual attention (saliency).
- ![Saliency diagram](pics/saliency.png)
- To see how API works, try tracker demo:
- <https://github.com/fpuja/opencv_contrib/blob/saliencyModuleDevelop/modules/saliency/samples/computeSaliency.cpp>
- @note This API has been designed with PlantUML. If you modify this API please change UML.
- */
- #endif //__OPENCV_SALIENCY_HPP__
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