A real-time algorithm for moving objects detection in video images

Hong Song; Feng Shi

A real-time algorithm for moving objects detection in video images

Hong Song^*
, Feng Shi

^*Corresponding author for this work

School of Computer Science and Technology

Beijing Institute of Technology

Research output: Contribution to conference › Paper › peer-review

10 Citations (Scopus)

Abstract

This paper addresses our proposed algorithm to automatically segment out moving objects in video images. The algorithm is based on the region-based frame difference and adjusted background subtraction. An adaptive threshold technique was employed to choose the threshold value to segment the moving foreground objects from the still background. And experimental results demonstrate that both the accuracy and processing speed are very promising. Furthermore, the algorithm is robust to the changes of lighting condition and can be applied for the practical use.

Original language	English
Pages	4108-4111
Number of pages	4
Publication status	Published - 2004
Event	WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings - Hangzhou, China Duration: 15 Jun 2004 → 19 Jun 2004

Conference

Conference	WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings
Country/Territory	China
City	Hangzhou
Period	15/06/04 → 19/06/04

Keywords

Adaptive threshold
Adjusted background subtraction
Object detection
Region-based frame difference

Cite this

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title = "A real-time algorithm for moving objects detection in video images",

abstract = "This paper addresses our proposed algorithm to automatically segment out moving objects in video images. The algorithm is based on the region-based frame difference and adjusted background subtraction. An adaptive threshold technique was employed to choose the threshold value to segment the moving foreground objects from the still background. And experimental results demonstrate that both the accuracy and processing speed are very promising. Furthermore, the algorithm is robust to the changes of lighting condition and can be applied for the practical use.",

keywords = "Adaptive threshold, Adjusted background subtraction, Object detection, Region-based frame difference",

author = "Hong Song and Feng Shi",

year = "2004",

language = "English",

pages = "4108--4111",

note = "WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings ; Conference date: 15-06-2004 Through 19-06-2004",

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T1 - A real-time algorithm for moving objects detection in video images

AU - Song, Hong

AU - Shi, Feng

PY - 2004

Y1 - 2004

N2 - This paper addresses our proposed algorithm to automatically segment out moving objects in video images. The algorithm is based on the region-based frame difference and adjusted background subtraction. An adaptive threshold technique was employed to choose the threshold value to segment the moving foreground objects from the still background. And experimental results demonstrate that both the accuracy and processing speed are very promising. Furthermore, the algorithm is robust to the changes of lighting condition and can be applied for the practical use.

AB - This paper addresses our proposed algorithm to automatically segment out moving objects in video images. The algorithm is based on the region-based frame difference and adjusted background subtraction. An adaptive threshold technique was employed to choose the threshold value to segment the moving foreground objects from the still background. And experimental results demonstrate that both the accuracy and processing speed are very promising. Furthermore, the algorithm is robust to the changes of lighting condition and can be applied for the practical use.

KW - Adaptive threshold

KW - Adjusted background subtraction

KW - Object detection

KW - Region-based frame difference

UR - https://www.scopus.com/pages/publications/4444338474

M3 - Paper

AN - SCOPUS:4444338474

SP - 4108

EP - 4111

T2 - WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings

Y2 - 15 June 2004 through 19 June 2004

ER -

A real-time algorithm for moving objects detection in video images

Abstract

Conference

Keywords

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Cite this