Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Moving Object Detection In Video Surveillance System

Author : Chetan M. Turkane 1 Prof. Ms. V.D.Nagrale 2

Date of Publication :7th February 2015

Abstract: The analysis of human body motion is an important method in which computer vision combines with bio-mechanics. This method is widely used in motion detection, motion analysis, intelligent control and many other fields. In the analysis of human body motion; the moving human body detection is important part. The moving human body is detected from the background image in video sequences. Here the new method for the moving object detection based on background subtraction is defined by establishing a reliable background updating model which uses a dynamic optimization threshold method to obtain a more complete moving object. After getting moving object to remove the noise morphological filtering is done. The noise is in form of disturbances which present in the background.

Reference :

  1. [1] Cheng-Ming Huang, Yi-Ru Chenand, Li-Chen Fu “RealTime Object Detection and Tracking on a Moving Camera Platform” ICROS-SICE International Joint Conference 2009 Fukuoka International Congress Center, Japan August 18-21, 2009, pp. 717-722

    [2] Lianqiang Niu, Nan Jiang “A Moving Objects Detection Algorithm Based on Improved Background Subtraction” DOI 10.1109/ISDA.2008.337 978-0-7695- 3382-7/08 $25.00 © 2008 IEEE

    [3] Lijing Zhang, Yingli Liang “Motion Human Detection Based on Background Subtraction” 2010 Second International workshop on Education Technology and computer science,2010

    [4] Du-Ming Tsai and Shia-Chih Lai “Independent Component Analysis-Based Background Subtraction for Indoor Surveillance” IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 18, NO. 1, JANUARY 2009


  2. [1] Cheng-Ming Huang, Yi-Ru Chenand, Li-Chen Fu “RealTime Object Detection and Tracking on a Moving Camera Platform” ICROS-SICE International Joint Conference 2009 Fukuoka International Congress Center, Japan August 18-21, 2009, pp. 717-722

    [2] Lianqiang Niu, Nan Jiang “A Moving Objects Detection Algorithm Based on Improved Background Subtraction” DOI 10.1109/ISDA.2008.337 978-0-7695- 3382-7/08 $25.00 © 2008 IEEE

    [3] Lijing Zhang, Yingli Liang “Motion Human Detection Based on Background Subtraction” 2010 Second International workshop on Education Technology and computer science,2010

    [4] Du-Ming Tsai and Shia-Chih Lai “Independent Component Analysis-Based Background Subtraction for Indoor Surveillance” IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 18, NO. 1, JANUARY 2009


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