PTZ camera-based adaptive panoramic and multi-layered background model

Kang Xue; Gbolabo Ogunmakin; Yue Liu; Patricio A. Vela; Yongtian Wang

doi:10.1109/ICIP.2011.6116280

PTZ camera-based adaptive panoramic and multi-layered background model

Kang Xue^*
, Gbolabo Ogunmakin
, Yue Liu
, Patricio A. Vela
, Yongtian Wang

^*Corresponding author for this work

School of Optics and Photonics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Citations (Scopus)

Abstract

In this paper, we present a novel approach for constructing an adaptive panoramic and multi-layered background model for Pan-tilt-zoom (PTZ) camera that provides fast registration of the observed frame and localizes the foreground targets with arbitrary camera position and scale (optical zoom). Our method consists of two stages. (1) An adaptive panoramic background mixture model is generated off-line for foreground detection. (2) A layered correspondence is generated off-line from frames captured at different optical zoom values of the camera, and a correspondence propagation method is used to register the observed frame with the panoramic background online. We demonstrate the advantages of the proposed adaptive panoramic and multi-layered background model within wide field of view (FOV) and over large scale range.

Original language	English
Title of host publication	ICIP 2011
Subtitle of host publication	2011 18th IEEE International Conference on Image Processing
Pages	2949-2952
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2011.6116280
Publication status	Published - 2011
Event	2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium Duration: 11 Sept 2011 → 14 Sept 2011

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Conference

Conference	2011 18th IEEE International Conference on Image Processing, ICIP 2011
Country/Territory	Belgium
City	Brussels
Period	11/09/11 → 14/09/11

Keywords

Object detection
PTZ camera
multi-layered propagation
panoramic background

Access to Document

10.1109/ICIP.2011.6116280

Cite this

@inproceedings{b7b3db05de5c41189c355b675396d0b0,

title = "PTZ camera-based adaptive panoramic and multi-layered background model",

abstract = "In this paper, we present a novel approach for constructing an adaptive panoramic and multi-layered background model for Pan-tilt-zoom (PTZ) camera that provides fast registration of the observed frame and localizes the foreground targets with arbitrary camera position and scale (optical zoom). Our method consists of two stages. (1) An adaptive panoramic background mixture model is generated off-line for foreground detection. (2) A layered correspondence is generated off-line from frames captured at different optical zoom values of the camera, and a correspondence propagation method is used to register the observed frame with the panoramic background online. We demonstrate the advantages of the proposed adaptive panoramic and multi-layered background model within wide field of view (FOV) and over large scale range.",

keywords = "Object detection, PTZ camera, multi-layered propagation, panoramic background",

author = "Kang Xue and Gbolabo Ogunmakin and Yue Liu and Vela, \{Patricio A.\} and Yongtian Wang",

year = "2011",

doi = "10.1109/ICIP.2011.6116280",

language = "English",

isbn = "9781457713033",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "2949--2952",

booktitle = "ICIP 2011",

note = "2011 18th IEEE International Conference on Image Processing, ICIP 2011 ; Conference date: 11-09-2011 Through 14-09-2011",

}

Xue, K, Ogunmakin, G, Liu, Y, Vela, PA & Wang, Y 2011, PTZ camera-based adaptive panoramic and multi-layered background model. in ICIP 2011: 2011 18th IEEE International Conference on Image Processing., 6116280, Proceedings - International Conference on Image Processing, ICIP, pp. 2949-2952, 2011 18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, 11/09/11. https://doi.org/10.1109/ICIP.2011.6116280

PTZ camera-based adaptive panoramic and multi-layered background model. / Xue, Kang; Ogunmakin, Gbolabo; Liu, Yue et al.
ICIP 2011: 2011 18th IEEE International Conference on Image Processing. 2011. p. 2949-2952 6116280 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - PTZ camera-based adaptive panoramic and multi-layered background model

AU - Xue, Kang

AU - Ogunmakin, Gbolabo

AU - Liu, Yue

AU - Vela, Patricio A.

AU - Wang, Yongtian

PY - 2011

Y1 - 2011

N2 - In this paper, we present a novel approach for constructing an adaptive panoramic and multi-layered background model for Pan-tilt-zoom (PTZ) camera that provides fast registration of the observed frame and localizes the foreground targets with arbitrary camera position and scale (optical zoom). Our method consists of two stages. (1) An adaptive panoramic background mixture model is generated off-line for foreground detection. (2) A layered correspondence is generated off-line from frames captured at different optical zoom values of the camera, and a correspondence propagation method is used to register the observed frame with the panoramic background online. We demonstrate the advantages of the proposed adaptive panoramic and multi-layered background model within wide field of view (FOV) and over large scale range.

AB - In this paper, we present a novel approach for constructing an adaptive panoramic and multi-layered background model for Pan-tilt-zoom (PTZ) camera that provides fast registration of the observed frame and localizes the foreground targets with arbitrary camera position and scale (optical zoom). Our method consists of two stages. (1) An adaptive panoramic background mixture model is generated off-line for foreground detection. (2) A layered correspondence is generated off-line from frames captured at different optical zoom values of the camera, and a correspondence propagation method is used to register the observed frame with the panoramic background online. We demonstrate the advantages of the proposed adaptive panoramic and multi-layered background model within wide field of view (FOV) and over large scale range.

KW - Object detection

KW - PTZ camera

KW - multi-layered propagation

KW - panoramic background

UR - https://www.scopus.com/pages/publications/84863062068

U2 - 10.1109/ICIP.2011.6116280

DO - 10.1109/ICIP.2011.6116280

M3 - Conference contribution

AN - SCOPUS:84863062068

SN - 9781457713033

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 2949

EP - 2952

BT - ICIP 2011

T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011

Y2 - 11 September 2011 through 14 September 2011

ER -

PTZ camera-based adaptive panoramic and multi-layered background model

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this