You can choose between different learning models, depending on the scene you want analyzed, so that changes in the scene can be properly detected.
What you should know
- Each learning model is optimized for different types of scenes. The scene background is analyzed and learned so that differences in the scene are detected. When you change the learning model or the motion analysis mode, or click Relearn, the background is relearned. The relearning process can take up to a few minutes, depending on your configuration and learning models.
- You can enable the Show scene background or the Show motion analysis option to visualize the sensitivity of your configuration. Detected differences from the background are highlighted in blue if they are minor, in green if they are moderate, or in red if they are severe.
NOTE:
Depending on which scenario type you are configuring, some
settings might be unavailable or hidden if Advanced mode
is
disabled.
Procedure
-
Click the Foreground tab.
The background is learned using the default learning model. -
In the Scene background section, select a learning
model:
- Color-based model
- This model is designed for indoor scenarios and thermal cameras. This model continuously learns the colors of the scene and compares them to the current frame.
- Edge-based model
- This model is designed for outdoor scenarios. This model continuously learns the edges of objects in the scene and compares them to the current frame.
-
- Startup learning period
- Specifies the duration for which the scene is analyzed when the learning model is changed or when you click Relearn.
NOTE: The initial scene should not contain any moving objects in the foreground during the startup learning period because the object detection model will learn to consider them as part of the background.
- Continuous learning period
- Specifies the duration for which the scene is analyzed continuously in the background.
- Reference image
- This model is designed for detecting changes in empty areas with unchanging lighting, such as in an elevator. To ensure that the scene you want is learned, click Relearn to manually capture the reference image when the scene is empty. The current frame is compared to this reference image.