Moving objects detection employing iterative update of the background

Detection of objects from a video is one of the basic issues in computer vision study. It is obvious that moving objects detection is particularly important, since they are those to which one should pay attention in walking, running, or driving a car. This paper proposes a method of detecting moving...

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Bibliographic Details
Published in:Artificial life and robotics 2017-06, Vol.22 (2), p.168-174
Main Authors: Setyawan, F. X. Arinto, Tan, Joo Kooi, Kim, Hyoungseop, Ishikawa, Seiji
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computation by Abstract Devices
Computer Science
Computer vision
Control
Mechatronics
Moving object recognition
Normal distribution
Original Article
Robotics
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Summary:Detection of objects from a video is one of the basic issues in computer vision study. It is obvious that moving objects detection is particularly important, since they are those to which one should pay attention in walking, running, or driving a car. This paper proposes a method of detecting moving objects from a video as foreground objects by inferring backgrounds frame by frame. The proposed method can cope with various changes of a scene including large dynamical change of a scene in a video taken by a stationary/moving camera. Experimental results show satisfactory performance of the proposed method.
ISSN:1433-5298
1614-7456
DOI:10.1007/s10015-016-0347-9