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Encoder combined video moving object detection

delete2014-09-01
delete17
PRE
AI
L
Lingling Tong
F
Feng Dai
张冬明 (Dongming Zhang)
D
Dong Wang
张勇东 (Yongdong Zhang) *
DOI:10.1016/j.neucom.2014.02.049delete
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Abstract

Abstract

En 中文
Moving object detection is the initial step of information extraction for video surveillance applications. For efficient transmission and storage, surveillance videos are compressed after capture. Existing methods usually take the compressed videos for moving object detection, which need full or partial decoding. Thus, they are not very efficient. Actually, the data generated during video encoding can be shared with detection, which avoids extra decoding. In this paper, we propose a low computation moving object detection method combined with video encoder. To avoid extra decoding, data generated during video encoding, such as Rate Distortion Cost (RDCost), are utilized for moving object detection. Experiments on a number of video sequences demonstrate its effectiveness in detection accuracy and superior processing speed. (C) 2014 Elsevier B.V. All rights reserved.
Keywords:
Moving object detection
Video surveillance
Video encoder
H.264/AVC
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Journal

Neurocomputing cover
Neurocomputing
IF:
6.5
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H
huawei technologies
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institute of computing technology, cas
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chinese academy of sciences
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