vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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// License Agreement
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// For Open Source Computer Vision Library
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// Copyright (C) 2014, OpenCV Foundation, all rights reserved.
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// 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,
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// this list of conditions and the following disclaimer.
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// * The name of the copyright holders may not be used to endorse or promote products
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//M*/
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#ifndef __OPENCV_SALIENCY_HPP__
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#define __OPENCV_SALIENCY_HPP__
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#include "opencv2/saliency/saliencyBaseClasses.hpp"
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#include "opencv2/saliency/saliencySpecializedClasses.hpp"
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/** @defgroup saliency Saliency API
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Many computer vision applications may benefit from understanding where humans focus given a scene.
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Other than cognitively understanding the way human perceive images and scenes, finding salient
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regions and objects in the images helps various tasks such as speeding up object detection, object
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recognition, object tracking and content-aware image editing.
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About the saliency, there is a rich literature but the development is very fragmented. The principal
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purpose of this API is to give a unique interface, a unique framework for use and plug sever
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saliency algorithms, also with very different nature and methodology, but they share the same
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purpose, organizing algorithms into three main categories:
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**Static Saliency**: algorithms belonging to this category, exploit different image features that
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allow to detect salient objects in a non dynamic scenarios.
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**Motion Saliency**: algorithms belonging to this category, are particularly focused to detect
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salient objects over time (hence also over frame), then there is a temporal component sealing
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cosider that allows to detect "moving" objects as salient, meaning therefore also the more general
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sense of detection the changes in the scene.
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**Objectness**: Objectness is usually represented as a value which reflects how likely an image
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window covers an object of any category. Algorithms belonging to this category, avoid making
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decisions early on, by proposing a small number of category-independent proposals, that are expected
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to cover all objects in an image. Being able to perceive objects before identifying them is closely
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related to bottom up visual attention (saliency).
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To see how API works, try tracker demo:
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<https://github.com/fpuja/opencv_contrib/blob/saliencyModuleDevelop/modules/saliency/samples/computeSaliency.cpp>
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@note This API has been designed with PlantUML. If you modify this API please change UML.
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*/
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#endif //__OPENCV_SALIENCY_HPP__
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