Anomaly detection in compressed H.264/AVC video

Biswas, Sovan and Babu, Venkatesh R (2015) Anomaly detection in compressed H.264/AVC video. In: MULTIMEDIA TOOLS AND APPLICATIONS, 74 (24). pp. 11099-11115.

PDF Mul_Too_App_74-24_11099_2015pdf.pdf - Published Version Restricted to Registered users only Download (2MB) | Request a copy

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 H.264 compressed video streams utilizing pre-encoded 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 H.264 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 bench-marked on UMN and Ped anomaly detection video datasets, with a detection rate of 70 frames per sec resulting in 90x and 250x speedup, along with on-par detection accuracy compared to the state-of-the-art algorithms.

Item Type:	Journal Article
Publication:	MULTIMEDIA TOOLS AND APPLICATIONS
Publisher:	SPRINGER
Additional Information:	Copy right for this article belongs to the SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
Keywords:	Anomaly detection; H.264; Motion vectors; Compressed domain video analysis; Kernel density estimation; Visual surveillance
Department/Centre:	Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre
Date Deposited:	02 Jan 2016 07:31
Last Modified:	02 Jan 2016 07:31
URI:	http://eprints.iisc.ac.in/id/eprint/52996

Actions (login required)

View Item