forked from Github/frigate
Improve motion detection and region selection (#6741)
* refactor existing motion detector * implement and use cnt bgsub * pass fps to motion detector * create a simplified motion detector * lightning detection * update default motion config * lint imports * use estimated boxes for regions * use improved motion detector * update test * use a different strategy for clustering motion and object boxes * increase alpha during calibration * simplify object consolidation * add some reasonable constraints to the estimated box * adjust cluster boundary to 10% * refactor * add disabled debug code * fix variable scope
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@@ -261,27 +261,29 @@ motion:
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# Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion. (default: shown below)
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# Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
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# The value should be between 1 and 255.
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threshold: 25
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# Optional: Minimum size in pixels in the resized motion image that counts as motion (default: 30)
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threshold: 40
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# Optional: The percentage of the image used to detect lightning or other substantial changes where motion detection
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# needs to recalibrate. (default: shown below)
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# Increasing this value will make motion detection more likely to consider lightning or ir mode changes as valid motion.
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# Decreasing this value will make motion detection more likely to ignore large amounts of motion such as a person approaching
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# a doorbell camera.
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lightning_threshold: 0.8
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# Optional: Minimum size in pixels in the resized motion image that counts as motion (default: shown below)
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# Increasing this value will prevent smaller areas of motion from being detected. Decreasing will
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# make motion detection more sensitive to smaller moving objects.
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# As a rule of thumb:
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# - 15 - high sensitivity
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# - 30 - medium sensitivity
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# - 50 - low sensitivity
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contour_area: 30
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# Optional: Alpha value passed to cv2.accumulateWeighted when averaging the motion delta across multiple frames (default: shown below)
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# Higher values mean the current frame impacts the delta a lot, and a single raindrop may register as motion.
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# Too low and a fast moving person wont be detected as motion.
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delta_alpha: 0.2
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contour_area: 15
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# Optional: Alpha value passed to cv2.accumulateWeighted when averaging frames to determine the background (default: shown below)
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# Higher values mean the current frame impacts the average a lot, and a new object will be averaged into the background faster.
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# Low values will cause things like moving shadows to be detected as motion for longer.
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# https://www.geeksforgeeks.org/background-subtraction-in-an-image-using-concept-of-running-average/
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frame_alpha: 0.2
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frame_alpha: 0.02
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# Optional: Height of the resized motion frame (default: 50)
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# This operates as an efficient blur alternative. Higher values will result in more granular motion detection at the expense
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# of higher CPU usage. Lower values result in less CPU, but small changes may not register as motion.
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# Higher values will result in more granular motion detection at the expense of higher CPU usage.
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# Lower values result in less CPU, but small changes may not register as motion.
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frame_height: 50
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# Optional: motion mask
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# NOTE: see docs for more detailed info on creating masks
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@@ -289,7 +291,7 @@ motion:
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# Optional: improve contrast (default: shown below)
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# Enables dynamic contrast improvement. This should help improve night detections at the cost of making motion detection more sensitive
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# for daytime.
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improve_contrast: False
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improve_contrast: True
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# Optional: Delay when updating camera motion through MQTT from ON -> OFF (default: shown below).
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mqtt_off_delay: 30
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