Automatic moving target detecting by a novel video segmentation algorithm

2005 ◽  
Author(s):  
Haitao Jia ◽  
Mei Xie
Keyword(s):  
Video Segmentation ◽  
Segmentation Algorithm ◽  
Moving Target ◽  
Target Detecting

Video Segmentation Algorithm Based on Improved Kirsch Edge Operator and Three-Frame Difference

2014 ◽  
Vol 981 ◽  
pp. 335-339 ◽  
Author(s):  
Chun Yu Chen ◽  
Ming Yue Zhao
Keyword(s):  
Video Segmentation ◽  
Segmentation Algorithm ◽  
Moving Target ◽  
Test Results ◽  
Moving Targets ◽  
Current Frame ◽  
Frame Difference ◽  
Edge Operator ◽  
Fracture Edge ◽  
Edge Connector

For the most commonly used method of are susceptible to noise, it is difficult to extract a complete moving target . Aiming at this problem, we propose a video segmentation algorithm through the combination of an improved Kirsch edge operator and the three-frame difference. Firstly, we got a moving region through a differential by the three consecutive image frames, and then got the edge on the current frame using an improved Kirsch edge detection operator, Synthesis of the two test results, we got a more accurate moving object edges. Then using the edge connector algorithm to complete the connection of the fracture edge, and finally, got moving target mask image through regional filling, thereby dividing the complete moving target, thus dividing the complete moving target. Experimental results show that the algorithm has a certain robustness, and can accurately detect moving targets.

scholarly journals Content based Video Segmentation Algorithm using Comparison of Pattern Similarity

2011 ◽  
Vol 14 (10) ◽  
pp. 1252-1261 ◽  
Author(s):  
In-Su Won ◽  
Ju-Hee Cho ◽  
Sang-Il Na ◽  
Ju-Kyong Jin ◽  
Jae-Hyup Jeong ◽  
...  
Keyword(s):  
Video Segmentation ◽  
Segmentation Algorithm ◽  
Pattern Similarity

scholarly journals Code Design for Moving Target-Detecting Radar in Nonhomogeneous Signal-Dependent Clutter

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Jindong Zhang ◽  
Yin Du ◽  
He Yan
Keyword(s):  
Optimization Problem ◽  
Matched Filtering ◽  
Code Design ◽  
Moving Target ◽  
Computationally Efficient ◽  
Numerical Examples ◽  
Radar Systems ◽  
Minimization Algorithms ◽  
Simplified Algorithm ◽  
Target Detecting

In this paper, we investigate the code design problem of improving the detection performance of a moving target in the presence of nonhomogeneous signal-dependent clutter for moving target-detecting (MTD) radar systems. The optimization metric is constructed based on the signal to clutter and noise ratio (SCNR) of interpulse matched filtering. Under the frameworks of cyclic and majorization-minimization algorithms, we propose a novel algorithm, named CMMCODE, to tackle the code design optimization problem in the case of unknown precise target Doppler information and nonhomogeneous clutter. In the white-noise case, the simplified algorithm is also given based on CMMCODE algorithm. The presented algorithm is computationally efficient and convergent. Numerical examples show the effectiveness of the proposed algorithms.

Target Tracking Technology Basing on Pedestrian Video

2013 ◽  
Vol 416-417 ◽  
pp. 1187-1191
Author(s):  
Hao Shen ◽  
Hean Liu
Keyword(s):  
Pedestrian Detection ◽  
Video Tracking ◽  
Moving Target ◽  
High Complexity ◽  
Tracking Method ◽  
Detection Technology ◽  
Complexity Problem ◽  
Target Detecting ◽  
Video Track ◽  
Tracking Technology

In order to solve some high-complexity problem including traditional video tracking method, pedestrian movement shelter and calculation, target pedestrian detection technology basing on the video track is proposed. By collecting prospect of video and picture dealing technology, detecting and tracking moving target, detecting and analyzing the data of video, the result shows that this way is more accurate than traditional way and it can clearly draw the moving track of pedestrian.

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