Moving Object Detection Method for Surveillance Video using K-Means and OTSU Threshold

Authors

  • Aqsa Khan PG Scholar, Computer Science and Engineering, Rajiv Gandhi College of Engineering, Research & Technology, Chandrapur, India
  • Mr. N. J. Janwe Associate Professor, Computer Science And Engineering, Rajiv Gandhi College Of Engineering, Research & Technology, Chandrapur, India

Keywords:

Human Detection, Video Surveillance, Moving Object Detection, HOG, intrusion detection

Abstract

Detecting objects and surveillance of video is most popular now a day and is used for motion detection of
various object on a given video or an image and on a cctv as a real time processing n a video. This paper aims on 2
context the first section is intrusion detection in which it will identify the human for which we are applying human
detection algorithm and after detecting human it will identify and classify all the frames on basis of specified anomaly
to be detected in frames. Training is done real timeand now the second section is vehicle accident detection in which it
will identify the accidential vehical as a anomaly both in survillancing vedio and real time.and also the images is also
the images. It is also having the worning and alerting system for any accidental and intrusion detection found.

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Published

2017-09-25

How to Cite

Aqsa Khan, & Mr. N. J. Janwe. (2017). Moving Object Detection Method for Surveillance Video using K-Means and OTSU Threshold. International Journal of Advance Research in Engineering, Science & Technology, 4(9), 61–68. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1723

Issue

Vol. 4 No. 9 (2017): Volume: 04, Issue: 09 - September, 2017.

Section

Articles