Paper Title:
Moving Objects Detection Based on Gaussian Mixture Model and Saliency Map
  Abstract

The background modeling method based on the Gaussian mixture model (GMM) is usually used to detect the moving objects in static background. But when applied to dynamic background, for example caused by camera jitter, the wrong detection rate of moving objects is high, and thus affects the follow-up tracking. In addition, the method with GMM can not effectively remove the moving objects shadow region. This paper proposes a moving object detection method based on GMM and visual saliency maps, which not only can remove the disturbance caused by camera jitter, but also can effectively solve the shadow problem and achieve stable moving objects detection.

  Info
Periodical
Edited by
Helen Zhang and David Jin
Pages
350-354
DOI
10.4028/www.scientific.net/AMM.63-64.350
Citation
L. L. Lin, N. R. Chen, "Moving Objects Detection Based on Gaussian Mixture Model and Saliency Map", Applied Mechanics and Materials, Vols. 63-64, pp. 350-354, 2011
Online since
June 2011
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: Bin Rui Wang, Yin Xu, Ying Lian Jin, M. Cheng
Abstract:Based on affine transformation image kinematics and recurrence relations, the sub-region KLT feature extract with was designed and rules were...
592
Authors: Yang Ke Liu, Chun Zhao Lv, Chang Li
Abstract:In the digital image stabilization system, Kalman filter is the most commonly used filter for motion correction. When the wanted movements...
1768
Authors: Qi Chen, Xing Ben Yang, Shao Wen Yang
Chapter 5: Manufacturing Systems, Control and Automation, Intelligent Design
Abstract:In this paper, we present a new method for removing shadows from images. Different from traditional methods that explore pixel or edge...
286
Authors: Qi Chen, Xing Ben Yang, Yun Hong Chen, Dan Dan Li
Chapter 3: Data, Text, Sound, Image, Signal and Video Processing and Technologies
Abstract:Image segmentation plays an important role in computer vision and image processing to interpret and analyze an acquired image. Separation of...
312
Authors: Yong Wu Wu, You Fu Wu, Zu Feng Fu, Shu Qu Qian
Chapter 4: Measurement and Instrumentation, Monitoring Technologies, Recognition, Evaluation and Algorithms
Abstract:Behavior analysis is the advanced stage in intelligence surveillance. In this paper, we first parameterize the scene knowledge using Hough...
353