Quasi-Feature based Panoramic Video Creation for Multiview Object Tracking System

In this paper we present an efficient approach to building a panoramic video from mutiview camerasand to tracking objects. The proposed panoramic video creation module consists of two functions: (i) selecting fourquasi-feature points in two adjacent frames acquired by corresponding multiple cameras and (ii) mosaicing thetwo images. Four pairs of selected quasi-feature points play a role of similarity reference in registering twoadjacent frames. The mosaicing step uses the direct linear transformation (DLT) algorithm. The proposed trackingalgorithm uses the active contour model (ASM), which is robust against partial occlusion. The proposed trackingmodule consists of four functions: (i) landmark point assignment, (ii) principal component analysis (PCA), (iii) modeling of local structure, and (iv) model fitting. While most conventional panoramic image creation methodsare pixel-based, the proposed feature-based method provides more accurate tracking result. In the experiment, thecreated panoramic images exhibit high quality, which enables robust, real-time video tracking