Moving Target Detection Based on Principle of Connectivity and Texture Gradient

Min Huang; Yang Zhang; Gang Chen; Guo Feng Yang

doi:10.4028/www.scientific.net/AMR.605-607.2117

Paper Titles

An FPGA Based Frame Rate Enhancer for LCD Display in Embedded Systems
p.2095

Study of Embedded Power Environment Remote Video Monitoring System
p.2100

Signal Separation Based on Focused Neural Network Filter
p.2107

Adaptive Reconstruction Based on Romp Algorithm
p.2111

Moving Target Detection Based on Principle of Connectivity and Texture Gradient
p.2117

Shadow Detecting and Shadow Interpolation Algorithm for InSAS
p.2121

A Robust and Rapid Image Preprocessing Method for Finger Vein
p.2126

Weight to Vision Neural Network Information Processing Influence Research
p.2131

Particle Swarm Optimization Least Square Support Machine Based Missing Data Imputation Algorithm in Wireless Sensor Network for Nuclear Power Plant’s Environmental Radiation Monitor
p.2137

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607Moving Target Detection Based on Principle of...

Moving Target Detection Based on Principle of Connectivity and Texture Gradient

Abstract:

In target detection, “hole” phenomenon is present in the detection result, and the shadow is difficult to remove. To solve these problems, we propose a target detection algorithm based on principle of connectivity and texture gradient. Firstly, we use the connectivity principle to find the largest target prospects connection area to get a complete target contour, secondly we use target texture gradient information to further remove the shadow of the target. At last, the experimental results show that the algorithm can obtain a clear target profile and improve the accuracy of the moving target segmentation.

You might also be interested in these eBooks

Advanced Designs and Researches for Manufacturing

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

2117-2120

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.605-607.2117

Citation:

Cite this paper

Online since:

December 2012

Authors:

Min Huang, Yang Zhang, Gang Chen, Guo Feng Yang

Keywords:

Connectivity Principle, HSV Gaussian Background, Target Detection, Texture Gradient

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] I. Haritaoglu, D. Harwood, L. Davis: IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 22 (2000), p.809–830.

DOI: 10.1109/34.868683

Google Scholar

[2] Junchao Yin, Zhifang Liu: Computer Engineering and Design. Vol. 32(2011), pp.2817-2820. In Chinese.

Google Scholar

[3] A. SH. Lim, A. EI. Jamal. International Conference on Image Processing. Vol. 10 (2001), pp.925-931.

Google Scholar

[4] Jing Zhang, Yongmei Cheng: Computer Measurement and Control. Vol. 18 (2010), pp.1139-1141. In Chinese.

Google Scholar

[5] Xueyou Hu, Liang Tao, Minsheng Ni: Computer Applications. Vol. 31(2011), pp.1602-1608. In Chinese.

Google Scholar

[6] Stocker: IEEE International Symposium on Circuits and Systems. Vol. 5 (2002), pp.25-28.

Google Scholar

[7] Yang Xu, Chengdong Wu, Dongyue Chen: Application Research of Computers. Vol. 28 (2011), pp.1206-1209. In Chinese.

Google Scholar