Operator Reference
run_bg_esti (Operator)
run_bg_esti
— Estimate the background and return the foreground region.
Signature
run_bg_esti(PresentImage : ForegroundRegion : BgEstiHandle : )
Description
run_bg_esti
adapts the background image stored in the
BgEsti data set using a Kalman filter on each pixel and
returns a region of the foreground (detected moving objects).
For every pixel an estimation of its gray value is computed using the
values of the current data set and its stored background image and
the current image (PresentImage
). By comparison to the
threshold (fixed or adaptive, see create_bg_esti
) the
pixels are classified as either foreground or background.
The background estimation processes only single-channel images. Therefore the background has to be adapted separately for every channel.
The background estimation should be used on half- or even
quarter-sized images. For this, the input images (and the
initialization image!) has to be reduced using
zoom_image_factor
. The advantage is a shorter run-time on one
hand and a low-band filtering on the other. The filtering eliminates
high frequency noise and results in a more reliable estimation. As a
result the threshold (see create_bg_esti
) can be
lowered. The foreground region returned by run_bg_esti
then has to be enlarged again for further processing.
Attention
The passed image (PresentImage
) must have the same
type and size as the background image of the current data set
(initialized with create_bg_esti
).
Execution Information
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
Parameters
PresentImage
(input_object) singlechannelimage →
object (byte / real)
Current image.
ForegroundRegion
(output_object) region →
object
Region of the detected foreground.
BgEstiHandle
(input_control) bg_estimation →
(handle)
ID of the BgEsti data set.
Example (HDevelop)
* Read image for initialization: read_image(InitImage,'xing/init') * Initialize BgEsti dataset with * fixed gains and threshold adaption: create_bg_esti(InitImage,0.7,0.7,'fixed',0.002,0.02, \ 'on',7.0,10,3.25,15.0,BgEstiHandle) * Read the next image in sequence: read_image(Image0,'xing/xing000') * Estimate the background: run_bg_esti(Image0,ForegroundRegion1,BgEstiHandle) * Display the foreground region: dev_display (ForegroundRegion1) * Read the next image in sequence: read_image(Image1,'xing/xing001') * Estimate the background: run_bg_esti(Image1,ForegroundRegion2,BgEstiHandle) * Display the foreground region: dev_display (ForegroundRegion2) * etc.
Result
run_bg_esti
returns 2 (
H_MSG_TRUE)
if all parameters are
correct.
Possible Predecessors
create_bg_esti
,
update_bg_esti
Possible Successors
See also
set_bg_esti_params
,
create_bg_esti
,
update_bg_esti
,
give_bg_esti
Module
Foundation