Kalman filter and bounding box tracking

2 vues (au cours des 30 derniers jours)
Kostas Epp
Kostas Epp le 9 Fév 2015
Modifié(e) : Dima Lisin le 9 Fév 2015
Hi all! I hope that someone can help me with that!
I have a video that shows a face. Firstly, I detect the region of the eye from a face. The detection gives me a boundind box with [x,y,height,widht] coordinates. So now, i need KALMAN filter to track this bounding box.
Is it possible with kalman or should i use another tracker? Also i need this tracker to be in real time.
Thanks in advance!

Réponse acceptée

Erik S.
Erik S. le 9 Fév 2015
Hi,
Do you have computer vision toolbox?
There is vision.KalmanFilter method there you can use.

Plus de réponses (2)

Kostas Epp
Kostas Epp le 9 Fév 2015
Modifié(e) : Kostas Epp le 9 Fév 2015
Yes of course i have the computer vision toolbox. Basically, i found how to give as input the bounding box as input but after the first loop the position [x,y] is lost. How can i have this point of the face tracked all the time???

Dima Lisin
Dima Lisin le 9 Fév 2015
Modifié(e) : Dima Lisin le 9 Fév 2015
The easiest way to use the Kalman filter is to track the centroid of the eye. If bbox is your bounding box, then you can compute the centroid as bbox(1,2) + bbox(3,4) / 2. Please see the Using Kalman Filter for Object Tracking example for how to track a single object. For tracking multiple objects using the Kalman filter, see the Motion-Based Multiple Object Tracking example.

Catégories

En savoir plus sur Tracking and Motion Estimation dans Help Center et File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by