Background subtraction by combining Temporal and Spatio-Temporal histograms in the presence of camera movement

Background subtraction is the classical approach to differentiate moving objects in a scene from the static background when the camera is fixed. If the fixed camera assumption does not hold, a frame registration step is followed by the background subtraction. However, this registration step cannot p...

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Bibliographic Details
Published in:Machine vision and applications 2014-08, Vol.25 (6), p.1573-1584
Main Authors: Romanoni, Andrea, Matteucci, Matteo, Sorrenti, Domenico G.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Artificial intelligence
Cameras
Classification
Communications Engineering
Computer Science
Computer science
control theory
systems
Errors
Exact sciences and technology
Histograms
Image Processing and Computer Vision
Movement
Networks
Original Paper
Pattern Recognition
Pattern recognition. Digital image processing. Computational geometry
Pixels
Subtraction
Temporal logic
Translations
Vibration
Vision systems
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Summary:Background subtraction is the classical approach to differentiate moving objects in a scene from the static background when the camera is fixed. If the fixed camera assumption does not hold, a frame registration step is followed by the background subtraction. However, this registration step cannot perfectly compensate camera motion, thus errors like translations of pixels from their true registered position occur. In this paper, we overcome these errors with a simple, but effective background subtraction algorithm that combines Temporal and Spatio-Temporal approaches. The former models the temporal intensity distribution of each individual pixel. The latter classifies foreground and background pixels, taking into account the intensity distribution of each pixels’ neighborhood. The experimental results show that our algorithm outperforms the state-of-the-art systems in the presence of jitter, in spite of its simplicity.
ISSN:0932-8092
1432-1769
DOI:10.1007/s00138-013-0587-9