Paper Title:
Video Object Detection Algorithm Based on Gaussian Mixture Models
  Abstract

The moving object detection of the video image is the basis of sequence image analysis, and it is the research hot issue of today’s foreign and domestic scholars. For detecting the moving object from the scene image in time, a detection algorithm of video moving object based on Gaussian mixture models is proposed in the paper. The pixel values are seen as the combination of the foreground Gaussian distribution and the background Gaussian distribution, and the background estimation and the adaptive background update will be put up. The statistical number of the foreground pixel of the current frame determines whether the light has a larger change, and it combines with the frame-difference method to detect moving object. The experimental results show that the algorithm can quickly and accurately establish the background model and accurately segment the foreground object.

  Info
Periodical
Chapter
Chapter 2: Advanced Manufacturing and Control Technologies
Edited by
Qingzhou Xu
Pages
587-590
DOI
10.4028/www.scientific.net/AMR.721.587
Citation
Z. X. Fu, L. M. Wang, "Video Object Detection Algorithm Based on Gaussian Mixture Models", Advanced Materials Research, Vol. 721, pp. 587-590, 2013
Online since
July 2013
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yi Ding Wang, Da Qian Li
Abstract:Background subtraction is a typical method for moving objects detection. The Gaussian mixture model is one of widely used method to model the...
3862
Authors: Zhi Li Qing, Yue Lin Chen
Chapter 12: Micro-Electronic Packaging Technology and Equipment
Abstract:This paper studies the moving objects detect and shadow eliminate in video surveillance. Completed the background generated on the video...
2691
Authors: Qiu Chan Bai, Chun Xia Jin, Ding Li Yang, Ma Hua Wang
Chapter 3: Industrial Robotics and Automation
Abstract:Background reduction technique not only has the characteristics of pixels identify changes and small time complexity, but also can provide...
1421
Authors: Hong Liang Wang, Jin Qi Wang, Hai Fei Ding, Yang Wen Huang, Pan Liu
Chapter 1: CAD/CAM
Abstract:Gaussian mixture model background difference method is an effective method to achieve the moving target detection. According to its...
569
Authors: Tia Nai Wu, Yun Rong Wu, Yun Yu Wu
Chapter 5: Measurements, Monitoring and Sensor
Abstract:Moving object detection is the basic of video applications such as computer vision, object recognition and tracking, surveillance security...
1166