DocumentCode
174010
Title
Motion analysis for moving object detection from UAV aerial images: A review
Author
Saif, A. F. M. Saifuddin ; Prabuwono, Anton Satria ; Mahayuddin, Zainal Rasyid
Author_Institution
Fac. of Inf. Sci. & Technol., Univ. Kebangsaan Malaysia, Bangi, Malaysia
fYear
2014
fDate
23-24 May 2014
Firstpage
1
Lastpage
6
Abstract
Motion analysis for moving object from UAV aerial images is still an unsolved issue in computer vision research field due to fast abrupt motion of object and UAV, low resolution, noisy imagery, cluttered background, low contrast and small target size. The main reason for the inability to handle motion is the weakness of existing approaches for moving object detection. This paper presents critical analysis of the various methods used for motion analysis which states lack of relevancy with motion analysis along with some unsolved problems need to be solved for optimum performance of moving objects detection from UAV aerial images. The overall reviews proposed in this paper have been extensively studied in various research papers which can significantly contribute to computer vision research and can be potential for future development and direction for future research.
Keywords
autonomous aerial vehicles; image motion analysis; image resolution; object detection; robot vision; UAV aerial image; cluttered background; computer vision research; low contrast; low resolution; motion analysis; moving object detection; noisy imagery; small target size; Computer vision; Computers; Conferences; Filtering; Image segmentation; Object segmentation; Vehicle detection; Computer vision; Motion; Moving object;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics, Electronics & Vision (ICIEV), 2014 International Conference on
Conference_Location
Dhaka
Print_ISBN
978-1-4799-5179-6
Type
conf
DOI
10.1109/ICIEV.2014.6850753
Filename
6850753
Link To Document