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Title of Journal: Multimed Tools Appl

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Abbravation: Multimedia Tools and Applications

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Springer US

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DOI

10.1007/bf01651387

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1573-7721

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Anomaly detection in compressed H264/AVC video

Authors: Sovan Biswas R Venkatesh Babu
Publish Date: 2014/08/28
Volume: 74, Issue: 24, Pages: 11099-11115
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Abstract

Real time anomaly detection is the need of the hour for any security applications In this article we have proposed a real time anomaly detection for H264 compressed video streams utilizing preencoded motion vectors MVs The proposed work is principally motivated by the observation that MVs have distinct characteristics during anomaly than usual Our observation shows that H264 MV magnitude and orientation contain relevant information which can be used to model the usual behavior UB effectively This is subsequently extended to detect abnormality/anomaly based on the probability of occurrence of a behavior The performance of the proposed algorithm was evaluated and benchmarked on UMN and Ped anomaly detection video datasets with a detection rate of 70 frames per sec resulting in 90× and 250× speedup along with onpar detection accuracy compared to the stateoftheart algorithms

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