Auto calibration for multiple camera-based surveillance system

Ohyun Kwon; Sangjin Kim; Jeongho Shin; Joonki Paik

doi:10.1117/12.632716

24 June 2005 Auto calibration for multiple camera-based surveillance system

Ohyun Kwon, Sangjin Kim, Jeongho Shin, Joonki Paik

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 596041 (2005) https://doi.org/10.1117/12.632716
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

Monitoring of large sites requires coordination of multiple cameras, and methods for relating events between distributed cameras. This paper presents a planar trajectory estimation method using multiple cameras, and the use of estimated trajectories to facilitate camera calibration. The algorithm addresses the problem of recovering the relative pose of several stationary cameras that observe one or more objects in motion. Each camera tracks several objects to produce a set of trajectories in the image. Using a simple calibration procedure, we recover the relative orientation of each camera to the local ground plane. We also present experimental results on both indoor and outdoor sequences containing persons and vehicles.

Citation Download Citation

Ohyun Kwon, Sangjin Kim, Jeongho Shin, and Joonki Paik "Auto calibration for multiple camera-based surveillance system", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596041 (24 June 2005); https://doi.org/10.1117/12.632716

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