A Comprehensive Review Towards Appropriate Feature Selection for Moving Object Detection Using Aerial Images

2019 ◽  
pp. 227-236
Author(s):  
Zainal Rasyid Mahayuddin ◽  
A. F. M. Saifuddin Saif
Keyword(s):  
Feature Selection ◽  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Aerial Images ◽  
Comprehensive Review ◽  
Selection For

scholarly journals Moment Feature Based Fast Feature Extraction Algorithm for Moving Object Detection Using Aerial Images

PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0126212 ◽  
Author(s):  
A. F. M. Saifuddin Saif ◽  
Anton Satria Prabuwono ◽  
Zainal Rasyid Mahayuddin
Keyword(s):  
Feature Extraction ◽  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Aerial Images ◽  
Feature Extraction Algorithm ◽  
Extraction Algorithm ◽  
Feature Based ◽  
Moment Feature

scholarly journals Moving Object Detection Using Dynamic Motion Modelling from UAV Aerial Images

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
A. F. M. Saifuddin Saif ◽  
Anton Satria Prabuwono ◽  
Zainal Rasyid Mahayuddin
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Aerial Images ◽  
Experimental Result ◽  
Motion Model ◽  
Pixel Intensity ◽  
Dynamic Motion ◽  
Frame Difference ◽  
Segmentation Approach

Motion analysis based moving object detection from UAV aerial image is still an unsolved issue due to inconsideration of proper motion estimation. Existing moving object detection approaches from UAV aerial images did not deal with motion based pixel intensity measurement to detect moving object robustly. Besides current research on moving object detection from UAV aerial images mostly depends on either frame difference or segmentation approach separately. There are two main purposes for this research: firstly to develop a new motion model called DMM (dynamic motion model) and secondly to apply the proposed segmentation approach SUED (segmentation using edge based dilation) using frame difference embedded together with DMM model. The proposed DMM model provides effective search windows based on the highest pixel intensity to segment only specific area for moving object rather than searching the whole area of the frame using SUED. At each stage of the proposed scheme, experimental fusion of the DMM and SUED produces extracted moving objects faithfully. Experimental result reveals that the proposed DMM and SUED have successfully demonstrated the validity of the proposed methodology.

Entropy based region selection for moving object detection

2011 ◽  
Vol 32 (15) ◽  
pp. 2097-2108 ◽  
Author(s):  
Badri Narayan Subudhi ◽  
Pradipta Kumar Nanda ◽  
Ashish Ghosh
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Region Selection ◽  
Selection For

A Hybrid Moving Object Detection Method for Aerial Images

2010 ◽  
pp. 357-368 ◽  
Author(s):  
Chung-Hsien Huang ◽  
Yi-Ta Wu ◽  
Jau-Hong Kao ◽  
Ming-Yu Shih ◽  
Cheng-Chuan Chou
Keyword(s):  
Object Detection ◽  
Detection Method ◽  
Moving Object Detection ◽  
Moving Object ◽  
Aerial Images

A Robust and Efficient Video Moving Object Detection and Tracking Algorithm

2009 ◽  
Vol 35 (8) ◽  
pp. 1055-1062
Author(s):  
Shao-Hua LIU ◽  
Mao-Jun ZHANG ◽  
Zhi-Hui XIONG ◽  
Wang CHEN
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Tracking Algorithm ◽  
Object Detection And Tracking ◽  
Detection And Tracking ◽  
Efficient Video

The method of rapid moving object detection in rotating camera

2013 ◽  
Vol 26 (7) ◽  
pp. 624-628
Author(s):  
Jianguo Jiang ◽  
Zhixiang Cai ◽  
Meibin Qi ◽  
Wei Wang
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Rotating Camera
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