set_bg_esti_params
— Change the parameters of the data set.
set_bg_esti_params( : : BgEstiHandle, Syspar1, Syspar2, GainMode, Gain1, Gain2, AdaptMode, MinDiff, StatNum, ConfidenceC, TimeC : )
set_bg_esti_params
is used to change the parameters
of the data set. The parameters passed by
set_bg_esti_params
are the same as in
create_bg_esti
(see there for an explanation).
The image format cannot be changed! To do this, a new data set with an initialization image of the appropriate format has to be created.
To exchange the background image completely, use
update_bg_esti
. The current image then has to be passed
for both the input image and the update region.
If GainMode
was set to 'frame' , the run-time
can be extremely long for large values of Gain1
or
Gain2
, because the values for the gains' table are
determined by a simple binary search.
BgEstiHandle
(input_control) bg_estimation →
(handle)
ID of the BgEsti data set.
Syspar1
(input_control) real →
(real)
1. system matrix parameter.
Default: 0.7
Suggested values: 0.65, 0.7, 0.75
Value range:
0.05
≤
Syspar1
≤
1.0
Recommended increment: 0.05
Syspar2
(input_control) real →
(real)
2. system matrix parameter.
Default: 0.7
Suggested values: 0.65, 0.7, 0.75
Value range:
0.05
≤
Syspar2
≤
1.0
Recommended increment: 0.05
GainMode
(input_control) string →
(string)
Gain type.
Default: 'fixed'
List of values: 'fixed' , 'frame'
Gain1
(input_control) real →
(real)
Kalman gain / foreground adaptation time.
Default: 0.002
Suggested values: 10.0, 20.0, 50.0, 0.1, 0.05, 0.01, 0.005, 0.001
Restriction:
0.0 <= Gain1
Gain2
(input_control) real →
(real)
Kalman gain / background adaptation time.
Default: 0.02
Suggested values: 2.0, 4.0, 8.0, 0.5, 0.1, 0.05, 0.01
Restriction:
0.0 <= Gain2
AdaptMode
(input_control) string →
(string)
Threshold adaptation.
Default: 'on'
List of values: 'off' , 'on'
MinDiff
(input_control) real →
(real)
Foreground/background threshold.
Default: 7.0
Suggested values: 3.0, 5.0, 7.0, 9.0, 11.0
Recommended increment: 0.2
StatNum
(input_control) integer →
(integer)
Number of statistic data sets.
Default: 10
Suggested values: 5, 10, 20, 30
Value range:
1
≤
StatNum
Recommended increment: 5
ConfidenceC
(input_control) real →
(real)
Confidence constant.
Default: 3.25
Suggested values: 4.30, 3.25, 2.82, 2.62
Recommended increment: 0.01
Restriction:
0.0 < ConfidenceC
TimeC
(input_control) real →
(real)
Constant for decay time.
Default: 15.0
Suggested values: 10.0, 15.0, 20.0
Recommended increment: 5.0
Restriction:
0.0 < TimeC
* 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. * Change parameter in dataset: set_bg_esti_params(BgEstiHandle,0.7,0.7,'fixed', \ 0.004,0.08,'on',9.0,10,3.25,20.0) * Read the next image in sequence: read_image(Image2,'xing/xing002') * Estimate the background: run_bg_esti(Image2,ForegroundRegion3,BgEstiHandle) * Display the foreground region: dev_display(ForegroundRegion3) * etc.
set_bg_esti_params
returns 2 (
H_MSG_TRUE)
if all parameters are
correct.
Foundation