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.
| Original language | English |
|---|---|
| Title of host publication | 2014 International Conference on Informatics, Electronics and Vision, ICIEV 2014 |
| Publisher | IEEE Computer Society |
| ISBN (Print) | 9781479951796 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 2014 International Conference on Informatics, Electronics and Vision, ICIEV 2014 - Dhaka Duration: 23 May 2014 → 24 May 2014 |
Other
| Other | 2014 International Conference on Informatics, Electronics and Vision, ICIEV 2014 |
|---|---|
| City | Dhaka |
| Period | 23/5/14 → 24/5/14 |
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Keywords
- Computer vision
- Motion
- Moving object
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
Cite this
Motion analysis for moving object detection from UAV aerial images : A review. / Saif, A. F M Saifuddin; Prabuwono, Anton Satria; Mahayuddin, Zainal Rasyid.
2014 International Conference on Informatics, Electronics and Vision, ICIEV 2014. IEEE Computer Society, 2014. 6850753.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Motion analysis for moving object detection from UAV aerial images
T2 - A review
AU - Saif, A. F M Saifuddin
AU - Prabuwono, Anton Satria
AU - Mahayuddin, Zainal Rasyid
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Computer vision
KW - Motion
KW - Moving object
UR - http://www.scopus.com/inward/record.url?scp=84904989231&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904989231&partnerID=8YFLogxK
U2 - 10.1109/ICIEV.2014.6850753
DO - 10.1109/ICIEV.2014.6850753
M3 - Conference contribution
SN - 9781479951796
BT - 2014 International Conference on Informatics, Electronics and Vision, ICIEV 2014
PB - IEEE Computer Society
ER -