Moving Target Detection and Segmentation Method Research in Intelligent Transportation System

Yi Zhang; Hui Zhi Sun

doi:10.4028/www.scientific.net/AMR.490-495.951

Paper Titles

Queueing Analysis of Spectrum Trading for Wireless Cognitive Radio Networks
p.932

Multipurpose Detecting System for Automotive Switch Function Based on Virtual Instrument (LabVIEW) and Embedded Technology (ARM)
p.937

Application of SVM Classifier and Fractal Feature in Circuit Fault Diagnosis
p.942

Pressure Measurement System Design and Controlling Study on the Double-Clutch Automatic Transmission
p.946

Moving Target Detection and Segmentation Method Research in Intelligent Transportation System
p.951

Modeling and Simulation Analysis of Motorized Spindle Vector Control
p.956

Mechanism Parameters Optimization of Jumping Robot Based on Dynamic Directional Manipulability
p.961

Preparation and Thermal Transfer of Phase Change Microcapsule on the Fabric
p.969

Measurement of Axial Impact Force of Pipeline Transporting Thick Pastes
p.974

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495Moving Target Detection and Segmentation Method...

Moving Target Detection and Segmentation Method Research in Intelligent Transportation System

Abstract:

This paper proposes a new algorithm for the detection of moving objects based on picture blocks and HVS color space of image differences techniques. The experimental results show that this algorithm can overcome the weakness of image background differencing and coterminous frame differencing method and suppress shadows effectively with advantages of self-adaptation and high speed. It can be used to detect the high-speed moving objects in the complex.

You might also be interested in these eBooks

Mechatronics and Intelligent Materials II

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

951-955

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.951

Citation:

Cite this paper

Online since:

March 2012

Authors:

Yi Zhang, Hui Zhi Sun

Keywords:

Background Update, Moving Objects, Self-Adaptive Threshold, Video Detection

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Wenbo Zhou: Shield tunnelling technology (China Architecture & Building Press, Beijing 2004), in Chinese.

Google Scholar

[2] Sasa G，Loncaric S. Spatio-temporal image segmentation using optical flow and clustering algorithm[C]. 1st Int'1 Work shopon Image and Signal Processing and Analysis，Pula，Croatia，(2000), pp.63-68.

DOI: 10.1109/ispa.2000.914892

Google Scholar

[3] Paragios N，Deriche R. Geodesic active contours and tracking of moving object [C]. IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol 22(3), (2000), pp.266-280.

DOI: 10.1109/34.841758

Google Scholar

[4] DAI Ke-xue, LI Guo-hui, TU Dan. Prospects and Current Studies on Background Subtraction Techniques for Moving Objects Detection from Surveillance Video, Journal of Image and Graphics[J], Vol 11(7), (2006), pp.919-927, in Chinese.

Google Scholar

[5] FAN Yihong, ZHANG Yuan, HUANG Tao. New Algorithm for Detection of High-speed Moving Objects Using Video Monitor Method, Computer Engineering[J], Vol 32(22), (2006), pp.240-242, in Chinese.

Google Scholar

[6] TIAN Zheng, XU Cheng, YANG Zhi-bang. Moving Objects Detection Algorithm in Intelligent Surveillance System, Computer Engineering[J], Vol37(4), (2011), pp.1-3, in Chinese.

Google Scholar