Recognize by Distance
The Recognize by Distance operator recognizes the objects detected in the previous frame in the current frame by its distance shift.
This operator uses the Kalman filter to predict the object's size and position for comparison purposes. If an object with an old enough past has not been matched with a rectangle in the current frame, the operator can also use this predicted information to retrieve the missing rectangle (hence its size and position in the frame).
Configuration Parameters
|
Parameter |
Type |
Description |
|---|---|---|
| minAge |
int |
Minimum age required for the detected rectangle to be considered as an object (in number of frames). |
| maxSizeDelta |
int |
Maximum size threshold (in pixels) to determine if a past rectangle's size and a current rectangle's size are close enough to be matched to the same object. |
|
maxDistance |
int |
Maximum distance threshold (in pixels) to determine if a past rectangle's position and a current rectangle's position are close enough to be matched to the same object. |
|
maxFramePrediction |
int |
If greater than zero, the operator will affect a new rectangle to an old enough object using this object's past information. The number of consecutive predicted information of an object cannot exceed this value. |
Input
|
Input |
Type |
Description |
|---|---|---|
|
objectsIn |
python.cv.objects | The list containing the past frame objects' information. |
|
rectsIn |
message.python.image.rectangles |
A list of rectangles that have been detected in the current frame. |
Output
|
Output |
Type |
Description |
|---|---|---|
|
objectsOut |
python.cv.objects | The updated list of objects. |