Realtime Face Detection and Tracking Using a Single Pan, Tilt, Zoom Camera

Ajmal Mian

doi:10.1109/IVCNZ.2008.4762103

Realtime Face Detection and Tracking Using a Single Pan, Tilt, Zoom Camera

Ajmal Mian

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

22 Citations (Scopus)

Abstract

Surveillance cameras generally have a wide field of view and do not capture the human face with a resolution that is sufficient for machine recognition. To overcome this problem, this paper presents a realtime face detection and tracking algorithm using a single PTZ (Pan, Tilt, Zoom) camera. Unlike existing algorithms which track the human face in the field of view of a fixed camera, the proposed algorithm adjusts the pan, tilt and zoom of a PTZ camera in real-time so that human faces can be acquired at the camerapsilas maximum resolution. The proposed algorithm addresses challenges like network delays, camera movement lags, oscillations and lost faces. Experiments were performed in realistic surveillance scenarios and accurate real-time tracking with pan, tilt and zoom was achieved.

Original language	English
Title of host publication	Proceedings on IVCNZ 2008
Editors	Keith Unsworth
Place of Publication	Los Alamitos, California, USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1-6
ISBN (Electronic)	9781424425839
ISBN (Print)	9781424437801
DOIs	https://doi.org/10.1109/IVCNZ.2008.4762103
Publication status	Published - Nov 2008
Event	Realtime Face Detection and Tracking Using a Single Pan, Tilt, Zoom Camera - Christchurch, New Zealand Duration: 1 Jan 2008 → …

Conference

Conference	Realtime Face Detection and Tracking Using a Single Pan, Tilt, Zoom Camera
Period	1/01/08 → …

Access to Document

10.1109/IVCNZ.2008.4762103

Integration of Spatiotemporal Video Data for Realtime Smart Proactive Surveillance
Mian, A. (Chief Investigator)
ARC Discovery Projects
1/01/08 → 31/12/10
Project: Research

Cite this

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title = "Realtime Face Detection and Tracking Using a Single Pan, Tilt, Zoom Camera",

abstract = "Surveillance cameras generally have a wide field of view and do not capture the human face with a resolution that is sufficient for machine recognition. To overcome this problem, this paper presents a realtime face detection and tracking algorithm using a single PTZ (Pan, Tilt, Zoom) camera. Unlike existing algorithms which track the human face in the field of view of a fixed camera, the proposed algorithm adjusts the pan, tilt and zoom of a PTZ camera in real-time so that human faces can be acquired at the camerapsilas maximum resolution. The proposed algorithm addresses challenges like network delays, camera movement lags, oscillations and lost faces. Experiments were performed in realistic surveillance scenarios and accurate real-time tracking with pan, tilt and zoom was achieved.",

author = "Ajmal Mian",

year = "2008",

month = nov,

doi = "10.1109/IVCNZ.2008.4762103",

language = "English",

isbn = "9781424437801",

pages = "1--6",

editor = "Keith Unsworth",

booktitle = "Proceedings on IVCNZ 2008",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "Realtime Face Detection and Tracking Using a Single Pan, Tilt, Zoom Camera ; Conference date: 01-01-2008",

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AU - Mian, Ajmal

PY - 2008/11

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N2 - Surveillance cameras generally have a wide field of view and do not capture the human face with a resolution that is sufficient for machine recognition. To overcome this problem, this paper presents a realtime face detection and tracking algorithm using a single PTZ (Pan, Tilt, Zoom) camera. Unlike existing algorithms which track the human face in the field of view of a fixed camera, the proposed algorithm adjusts the pan, tilt and zoom of a PTZ camera in real-time so that human faces can be acquired at the camerapsilas maximum resolution. The proposed algorithm addresses challenges like network delays, camera movement lags, oscillations and lost faces. Experiments were performed in realistic surveillance scenarios and accurate real-time tracking with pan, tilt and zoom was achieved.

AB - Surveillance cameras generally have a wide field of view and do not capture the human face with a resolution that is sufficient for machine recognition. To overcome this problem, this paper presents a realtime face detection and tracking algorithm using a single PTZ (Pan, Tilt, Zoom) camera. Unlike existing algorithms which track the human face in the field of view of a fixed camera, the proposed algorithm adjusts the pan, tilt and zoom of a PTZ camera in real-time so that human faces can be acquired at the camerapsilas maximum resolution. The proposed algorithm addresses challenges like network delays, camera movement lags, oscillations and lost faces. Experiments were performed in realistic surveillance scenarios and accurate real-time tracking with pan, tilt and zoom was achieved.

U2 - 10.1109/IVCNZ.2008.4762103

DO - 10.1109/IVCNZ.2008.4762103

M3 - Conference paper

SN - 9781424437801

SP - 1

EP - 6

BT - Proceedings on IVCNZ 2008

A2 - Unsworth, Keith

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Los Alamitos, California, USA

T2 - Realtime Face Detection and Tracking Using a Single Pan, Tilt, Zoom Camera

Y2 - 1 January 2008

ER -

Realtime Face Detection and Tracking Using a Single Pan, Tilt, Zoom Camera

Abstract

Conference

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Projects

Integration of Spatiotemporal Video Data for Realtime Smart Proactive Surveillance

Cite this