Authors:
Mathieu Pouzet
1
;
Patrick Bonnin
1
;
Jean Laneurit
2
and
Cedric Tessier
2
Affiliations:
1
Effidence and LISV, France
;
2
Effidence, France
Keyword(s):
Aerial Imagery, Moving Target Detection, Registration, Spatio-temporal Trajectories.
Related
Ontology
Subjects/Areas/Topics:
Engineering Applications
;
Image Processing
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Perception and Awareness
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
;
Surveillance
;
Vision, Recognition and Reconstruction
Abstract:
We propose a real time method for moving target detection from a camera embedded on a UAV. As the camera
is moving, we must estimate the background motion in order to compensate it and then perform the moving
target detection. This compensation is realized by an image registration method. For this, we use an hybrid
method using global minimization and feature-based approaches, with a pyramidal implementation. The good
results obtained for registration give us the potential moving targets. As some wrong detections still appear,
due to noise, occlusions or local change of illuminations, we worked on a robust spatio-temporal tracker able
to decide if potential targets are real moving targets or not. The algorithm must reach real time performances
for VGA images at 30 fps with a standard PC. We have tested our method on different sequences and show the
good results obtained thanks to the high precision in the image registration and the spatio-temporal tracker.