Effective Moving Objects Detection Based on Clustering Background Model for Video Surveillance

2008 Congress on Image and Signal Processing ◽

10.1109/cisp.2008.166 ◽

2008 ◽

Author(s):

Qing-Zhong Li ◽

Dong-Xiao He ◽

Bing Wang

Keyword(s):

Video Surveillance ◽

Moving Objects ◽

Background Model ◽

Moving Objects Detection ◽

Objects Detection

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Approach of moving objects detection in active video surveillance

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference ◽

10.1109/cdc.2009.5399604 ◽

2009 ◽

Author(s):

Jian-nan Chi ◽

Chuang Zhang ◽

Han Zhang ◽

Yang Liu ◽

Yan-tao Yan

Keyword(s):

Video Surveillance ◽

Moving Objects ◽

Moving Objects Detection ◽

Active Video ◽

Objects Detection

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Moving Objects Detection Using Adaptive Region-Based Background Model in Dynamic Scenes

Advances in Intelligent and Soft Computing - Foundations of Intelligent Systems ◽

10.1007/978-3-642-25664-6_75 ◽

2011 ◽

pp. 641-651 ◽

Author(s):

Lin Gao ◽

Yong Fan ◽

Niannian Chen ◽

Yufeng Li ◽

Xiaorong Li

Keyword(s):

Moving Objects ◽

Background Model ◽

Dynamic Scenes ◽

Moving Objects Detection ◽

Objects Detection

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A Moving Objects Detection in Underwater Video Using Subtraction of the Background Model

Proceeding of the Electrical Engineering Computer Science and Informatics ◽

10.11591/eecsi.v4.1075 ◽

2017 ◽

Vol 4 (1) ◽

Author(s):

M. R. Prabowo ◽

N. Hudayani ◽

S. Purwiyanti ◽

S. R. Sulistiyanti ◽

F. X. A. Setyawan

Keyword(s):

Moving Objects ◽

Background Model ◽

Underwater Video ◽

Moving Objects Detection ◽

Objects Detection

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A DCT coefficient sign-based background model for moving objects detection from motion JPEG coded movies

2009 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) ◽

10.1109/ispacs.2009.5383908 ◽

2009 ◽

Author(s):

Yuji Tachizaki ◽

Masaaki Fujiyoshi ◽

Hitoshi Kiya

Keyword(s):

Moving Objects ◽

Background Model ◽

Moving Objects Detection ◽

Objects Detection ◽

Dct Coefficient

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Low-Complexity and Reliable Moving Objects Detection and Tracking for Aerial Video Surveillance with Small UAVS

2007 IEEE International Symposium on Circuits and Systems ◽

10.1109/iscas.2007.377963 ◽

2007 ◽

Author(s):

Yu-chia Chung ◽

Zhihai He

Keyword(s):

Video Surveillance ◽

Moving Objects ◽

Low Complexity ◽

Moving Objects Detection ◽

Detection And Tracking ◽

Objects Detection ◽

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A moving objects detection in underwater video using subtraction of the background model

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) ◽

10.1109/eecsi.2017.8239148 ◽

2017 ◽

Author(s):

M. R. Prabowo ◽

N. Hudayani ◽

S. Purwiyanti ◽

S. R. Sulistiyanti ◽

F. X. A. Setyawan

Keyword(s):

Moving Objects ◽

Background Model ◽

Underwater Video ◽

Moving Objects Detection ◽

Objects Detection

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Implementation and analysis of moving objects detection in Video Surveillance

The 2010 IEEE International Conference on Information and Automation ◽

10.1109/icinfa.2010.5512354 ◽

2010 ◽

Author(s):

Henan Guo ◽

Yanchun Liang ◽

Zhezhou Yu ◽

Zhen Liu

Keyword(s):

Video Surveillance ◽

Moving Objects ◽

Moving Objects Detection ◽

Objects Detection

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An Adapting to Light Change Pixel Layer Based Background Model for Moving Objects Detection in a Dynamic Scene

2012 11th International Symposium on Distributed Computing and Applications to Business, Engineering & Science ◽

10.1109/dcabes.2012.90 ◽

2012 ◽

Author(s):

Chen-guang Liu ◽

Shang Wang

Keyword(s):

Moving Objects ◽

Background Model ◽

Light Change ◽

Dynamic Scene ◽

Moving Objects Detection ◽

Objects Detection

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Study on moving-objects detection technique in video surveillance system

2010 Chinese Control and Decision Conference ◽

10.1109/ccdc.2010.5498797 ◽

2010 ◽

Author(s):

Tao Zhang ◽

Zaiwen Liu ◽

Xiaofeng Lian ◽

Xiaoyi Wang

Keyword(s):

Video Surveillance ◽

Surveillance System ◽

Moving Objects ◽

Detection Technique ◽

Video Surveillance System ◽

Moving Objects Detection ◽

Objects Detection

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Moving objects detection based on thresholding operations for video surveillance systems

2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA) ◽

10.1109/aiccsa.2015.7507180 ◽

2015 ◽

Author(s):

Omar ELHarrouss ◽

Driss Moujahid ◽

Soukaina Elidrissi Elkaitouni ◽

Hamid Tairi

Keyword(s):

Video Surveillance ◽

Moving Objects ◽

Surveillance Systems ◽

Moving Objects Detection ◽

Objects Detection

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