Authors:
Ines Hadj Mtir
1
;
Khaled Kaâniche
1
;
Pascal Vasseur
2
and
Mohamed Chtourou
1
Affiliations:
1
University of Sfax, Tunisia
;
2
University of Rouen, France
Keyword(s):
Outliers Rejection, Features Matching, Image Registration, Motion Compensation, Vehicles Detection, Aerial Sequences.
Related
Ontology
Subjects/Areas/Topics:
Image Processing
;
Informatics in Control, Automation and Robotics
;
Robotics and Automation
;
Surveillance
;
Vision, Recognition and Reconstruction
Abstract:
The objective of our system is to detect vehicles from aerial sequences. Theses sequences are taken from a camera mounted on UAV which flies over roads and highways. Our approach is to firstly compensate the motion introduced by the dynamic behaviour of the camera. This leads us to a problem of image registration. The moving regions (vehicles) are after that extracted using residual motion. The aim of this paper is to present a combined method for features matching and outliers rejection to increase the accuracy of the registration phase. We use first, the SIFT descriptors and then outliers are rejected using geometric constraints. This leads to a better registration and a minimum of false alarms in the detection phase.