Moving object detection using image registration for a moving camera platform

This paper proposes an accurate moving object detector from Unmanned Aerial Platform (UAV). Due to the distance of UAV to targets and the movement of the platform, object detection is a challenging task. In order to achieve the best result with low error, at first the camera motion has to be estimat...

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Bibliographic Details
Published in2012 IEEE International Conference on Control System, Computing and Engineering pp. 355 - 359
Main Authors Cheraghi, Seyed Ali, Sheikh, Usman Ullah
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2012
Subjects
Accuracy
Adaptive background subtraction
Autonomous aerial vehicles
Cameras
Detection algorithms
Detectors
Feature extraction
Image registration
Moving object detection
Object detection
Optical flow
Surveillance system
Unmanned Aerial Vehicle (UAV)
Videos
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ISBN9781467331425
1467331422
DOI10.1109/ICCSCE.2012.6487170

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Summary:This paper proposes an accurate moving object detector from Unmanned Aerial Platform (UAV). Due to the distance of UAV to targets and the movement of the platform, object detection is a challenging task. In order to achieve the best result with low error, at first the camera motion has to be estimated; therefore, by using the Shi & Tomasi corner detector the corners are detected. Using image registration the motion is estimated and then compensated. After motion compensation, adaptive background subtraction is applied for detecting and extracting the moving objects. Experiments on different data sets show the accuracy of our approach on detecting moving objects from aerial platform with up to 85 % correct detection.
ISBN:9781467331425
1467331422
DOI:10.1109/ICCSCE.2012.6487170