vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

2026-08-22 00:11:13 +08:00
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+Using MultiTracker {#tutorial_multitracker}
+==================
+
+Goal
+----
+
+In this tutorial you will learn how to
+
+-   Create a MultiTracker object.
+-   Track several objects at once using the MultiTracker object.
+
+Source Code
+-----------
+
+@includelineno tracking/samples/tutorial_multitracker.cpp
+
+Explanation
+-----------
+
+-#  **Create the MultiTracker object**
+
+    @snippet tracking/samples/tutorial_multitracker.cpp create
+
+    You can create the MultiTracker object and use the same tracking algorithm for all tracked object as shown in the snippet.
+    If you want to use different type of tracking algorithm for each tracked object, you should define the tracking algorithm whenever a new object is added to the MultiTracker object.
+
+-#  **Selection of multiple objects**
+
+    @snippet tracking/samples/tutorial_multitracker.cpp selectmulti
+
+    You can use selectROI to select multiple objects with
+    the result stored in a vector of @ref cv::Rect2d as shown in the code.
+
+-#  **Adding the tracked object to MultiTracker**
+
+    @snippet tracking/samples/tutorial_multitracker.cpp init
+
+    You can add all tracked objects at once to the MultiTracker as shown in the code.
+    In this case, all objects will be tracked using same tracking algorithm as specified in decaration of MultiTracker object.
+    If you want to use different tracker algorithms for each tracked object,
+    You should add the tracked objects one by one and specify their tracking algorithm using the variant of @ref cv::legacy::MultiTracker::add.
+    @sa cv::legacy::MultiTracker::add( const String& trackerType, const Mat& image, const Rect2d& boundingBox )
+
+-#  **Obtaining the result**
+
+    @snippet tracking/samples/tutorial_multitracker.cpp result
+
+    You can access the result from the public variable @ref cv::legacy::MultiTracker::objects provided by the MultiTracker class as shown in the code.