scholarly journals Motion Estimation of Moving Target Using Multiple Images in Intelligent Space

10.5772/6015 ◽  
2008 ◽  
Author(s):  
TaeSeok Jin ◽  
Hideki Hashimoto
Keyword(s):  
Motion Estimation ◽  
Moving Target ◽  
Multiple Images ◽  
Intelligent Space

Feature-Based Affine Motion Estimation for Superresolution of a Region of Interest

2013 ◽  
pp. 118-137
Author(s):  
Sung Hyun Kim ◽  
Rae-Hong Park ◽  
Seungjoon Yang ◽  
Hwa-Young Kim
Keyword(s):  
Motion Estimation ◽  
Convex Sets ◽  
Interpolation Method ◽  
Digital Camera ◽  
Region Of Interest ◽  
Noise Model ◽  
Reference Image ◽  
Multiple Images ◽  
Affine Motion ◽  
Feature Based

This chapter presents an interpolation method of low-computation for a Region Of Interest (ROI) using multiple low-resolution images of the same scene. Interpolation methods using multiple images require the accurate motion information between the reference image of interpolation and the other images. Sometimes complex local motions applied to the entire images are estimated incorrectly, yielding seriously degraded interpolation results. The authors apply the proposed Superresolution (SR) method, which employs a simple global motion model, only to the ROI that contains important information of the scene. The ROIs extracted from multiple images are assumed to have simple global motions. At first, using a mean absolute difference measure, they extract the regions from the multiple images that are similar to the selected ROI in the reference image of interpolation and use feature points to estimate the affine motion parameters. The authors apply the Projection Onto Convex Sets (POCS)-based method to the ROI using the estimated motion, simplify the iterative computation of the whole system, and use an edge-preserving smoothing filter to reduce the distortion caused by additive noise. In experiments, they acquire test image sets with a hand-held digital camera and use a Gaussian noise model. Experimental results show that the feature-based Motion Estimation (ME) is accurate and reducing the computational load of the ME step is efficient in terms of the computational complexity. It is also shown that the SR results using the proposed method are remarkable even when input images contain complex motions and a large amount of noise. The proposed POCS-based SR algorithm can be applied to digital cameras, portable camcorders, and so on.

Motion estimation for moving target detection

1996 ◽  
Vol 32 (3) ◽  
pp. 866-874 ◽  
Author(s):  
V. Markandey ◽  
A. Reid ◽  
Shenq Wang
Keyword(s):  
Motion Estimation ◽  
Target Detection ◽  
Moving Target ◽  
Moving Target Detection

scholarly journals Road-Aided Ground Slowly Moving Target 2D Motion Estimation for Single-Channel Synthetic Aperture Radar

Sensors ◽  
2016 ◽  
Vol 16 (3) ◽  
pp. 383 ◽  
Author(s):  
Zhirui Wang ◽  
Jia Xu ◽  
Zuzhen Huang ◽  
Xudong Zhang ◽  
Xiang-Gen Xia ◽  
...  
Keyword(s):  
Motion Estimation ◽  
Synthetic Aperture Radar ◽  
Single Channel ◽  
Synthetic Aperture ◽  
Moving Target ◽  
Aperture Radar
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