Moving Object Detection Method Based on Spatio-Temporal Background Model
Authors: 
Weisheng Li, Lei HuangAuthors Info & Claims
Weisheng Li, Lei HuangAuthors Info & ClaimsPages 50 - 54
Abstract
The existing background modelling methods mostly only use the temporal or spatial information of pixels, so that the detection precision is decreased. To solve this problem, a background modelling method fusing spatio-temporal information of pixels is proposed in this paper. Firstly, the proposed method initialized the temporal background model using the historical observations of pixels. Meanwhile, the method established the spatial background model by means of sampling pixel values from the 8-connected neighborhood of pixels. And then in the process of moving object detection, the temporal model was updated in the way of "FIFO" (first in first out), and the spatial model was updated using the random strategy. The experimental results indicate that moving objects can be detected effectively by the proposed method in real time. Specifically, it can weaken the effects caused by dynamic background and illumination changes. Besides, it can inhibit the interference of camera jitter to some extent.
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Index Terms
- Moving Object Detection Method Based on Spatio-Temporal Background Model
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Information & Contributors
Information
Published In
July 2014
430 pages
ISBN:9781450328104
DOI:10.1145/2632856
- General Chairs:
- Hanzi Wang,
- Larry Davis,
- Program Chairs:
- Wenwu Zhu,
- Stephan Kopf,
- Yanyun Qu,
- Publications Chairs:
- Jun Yu,
- Jitao Sang,
- Tao Mei
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In-Cooperation
- NSF of China: National Natural Science Foundation of China
- Beijing ACM SIGMM Chapter
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 July 2014
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ICIMCS '14
ICIMCS '14: International Conference on Internet Multimedia Computing and Service
July 10 - 12, 2014
Xiamen, China
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Overall Acceptance Rate 163 of 456 submissions, 36%
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