Moving object detection and tracking based on improved Surendra background updating algorithm

Cheng-liang Wang; Liang-liang Jia; Juan-juan Chen

doi:10.1117/12.896113

8 July 2011 Moving object detection and tracking based on improved Surendra background updating algorithm

Cheng-liang Wang, Liang-liang Jia, Juan-juan Chen

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 800919 (2011) https://doi.org/10.1117/12.896113
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

Abstract

Background subtraction method is usually used to detect the moving objects. But the establishment of the background model is vulnerable due to some external environmental influences, e.g. the noise, the brightness variations and so on. This paper presents a method based on three frame difference arithmetic of Surendra background updating algorithm to build the background model. By difference calculation of the current frame and background model, and deal with the binary images by applying the difference images, then make the morphology operation for removing the noises to get the smooth images, mark the different connected regions among binary images. According to different labels in connected regions, this paper defines different center of mass of moving objects, and analyzes the image features of moving object area, so as to achieve the detection and track of moving objects.

Citation Download Citation

Cheng-liang Wang, Liang-liang Jia, and Juan-juan Chen "Moving object detection and tracking based on improved Surendra background updating algorithm", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 800919 (8 July 2011); https://doi.org/10.1117/12.896113

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available