NDLI: Cooperative object tracking using dual-pan–tilt–zoom cameras based on planar ground assumption

Content Provider	IET Digital Library
Author	Cui, Zhigao Li, Aihua Feng, Guoyan Jiang, Ke
Abstract	Pan–tilt–zoom (PTZ) cameras play an important role in visual surveillance system. Dual-PTZ camera system is the simplest and most typical one. The superiority of this system lies in that it can obtain both large-view information and high-resolution local-view information of the tracked object at the same time. One method to achieve such task is to use master–slave configuration. One camera (master) tracks moving objects at low resolution and provides the positional information to another camera (slave). Then the slave camera can point towards the object at high resolution and track it dynamically. In this paper, we propose a novel framework exploiting planar ground assumption to achieve cooperative tracking. The approach differs from conventional methods in that we exploit planar geometric constraint to solve the camera collaboration problem. Compared with the existing approach, the proposed framework can be used in the case of wide baseline, and allows the depth change of the tracked object. The proposed method can also adapt to the dynamic change of the surveillance scene. Besides, we also describe a self-calibration method of homography matrix which is induced by the ground plane between two cameras. We demonstrate the effectiveness of the proposed method by testing it with a tracking system for surveillance applications.
Starting Page	149
Ending Page	161
Page Count	13
ISSN	17519632
Volume Number	9
e-ISSN	17519640
Issue Number	Issue 1, Feb (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/9/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2013.0246
Journal	IET Computer Vision
Publisher Date	2014-06-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Camera Computer Vision And Image Processing Technique Cooperative Object Tracking Cooperative Tracking Geometric Constraint High-resolution Local-view Information Homography Matrix Image Sonsor Large-view Information Object Tracking Optical, Image And Video Signal Processing Pan-tilt-zoom Cameras Planar Ground Assumption Surveillance Tracking System Visual Surveillance System
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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