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 :
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