Fast compressed domain motion detection in H.264 video streams for video surveillance applications

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2009

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Fast compressed domain motion detection in H.264 video streams for video surveillance applications. / Szczerba, Krzysztof; Forchhammer, Søren; Støttrup-Andersen, Jesper; Eybye, Peder Tanderup.

Proceedings, AVSS. IEEE, 2009. p. 478-483.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2009

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Szczerba, Krzysztof; Forchhammer, Søren; Støttrup-Andersen, Jesper; Eybye, Peder Tanderup / Fast compressed domain motion detection in H.264 video streams for video surveillance applications.

Proceedings, AVSS. IEEE, 2009. p. 478-483.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2009

Bibtex

@inbook{ee4ffc01e1a94040a7a6b9678f0cfbb9,
title = "Fast compressed domain motion detection in H.264 video streams for video surveillance applications",
publisher = "IEEE",
author = "Krzysztof Szczerba and Søren Forchhammer and Jesper Støttrup-Andersen and Eybye, {Peder Tanderup}",
year = "2009",
doi = "10.1109/AVSS.2009.78",
isbn = "978-0-7695-3718-4",
pages = "478-483",
booktitle = "Proceedings, AVSS",

}

RIS

TY - GEN

T1 - Fast compressed domain motion detection in H.264 video streams for video surveillance applications

A1 - Szczerba,Krzysztof

A1 - Forchhammer,Søren

A1 - Støttrup-Andersen,Jesper

A1 - Eybye,Peder Tanderup

AU - Szczerba,Krzysztof

AU - Forchhammer,Søren

AU - Støttrup-Andersen,Jesper

AU - Eybye,Peder Tanderup

PB - IEEE

PY - 2009

Y1 - 2009

N2 - This paper presents a novel approach to fast motion detection in H.264/MPEG-4 advanced video coding (AVC) compressed video streams for IP video surveillance systems. The goal is to develop algorithms which may be useful in a real-life industrial perspective by facilitating the processing of large numbers of video streams on a single server. The focus of the work is on using the information in coded video streams to reduce the computational complexity and memory requirements, which translates into reduced hardware requirements and costs. The devised algorithm detects and segments activity based on motion vectors embedded in the video stream without requiring a full decoding and reconstruction of video frames. To improve the robustness to noise, a confidence measure based on temporal and spatial clues is introduced to increase the probability of correct detection. The algorithm was tested on indoor surveillance H.264 sequences.

AB - This paper presents a novel approach to fast motion detection in H.264/MPEG-4 advanced video coding (AVC) compressed video streams for IP video surveillance systems. The goal is to develop algorithms which may be useful in a real-life industrial perspective by facilitating the processing of large numbers of video streams on a single server. The focus of the work is on using the information in coded video streams to reduce the computational complexity and memory requirements, which translates into reduced hardware requirements and costs. The devised algorithm detects and segments activity based on motion vectors embedded in the video stream without requiring a full decoding and reconstruction of video frames. To improve the robustness to noise, a confidence measure based on temporal and spatial clues is introduced to increase the probability of correct detection. The algorithm was tested on indoor surveillance H.264 sequences.

U2 - 10.1109/AVSS.2009.78

DO - 10.1109/AVSS.2009.78

SN - 978-0-7695-3718-4

BT - Proceedings, AVSS

T2 - Proceedings, AVSS

SP - 478

EP - 483

ER -