Evaluation of the Similarity of Motion Barcodes by Introducing Color Information for Wide-Area Camera Calibration

Abstract

Calibration method of cameras distributed in a wide area is important for many applications such as surveillance. Camera calibration method using motion barcodes is one of the methods for this purpose. Motion barcode is a time-seriese feature of a line in each image which describes the exisitence of the moving objects on the line. Methods using motion barcodes uses the correspondence of lines based on the simirarity of motion barcodes and correspondence errors are caused by the different moving objects existing simultaneously. In the proposed method, we introduce the color information to reduce the correspondence errors. In concrete, the correspondence errors are eliminated by comparing the hue histgram of the neighbouring regions of the moving objects whose colors are obviously different. In the experiments, our method and the conventional method was compared using the PETS2009 dataset and EPFL dataset.