Finite asymmetric generalized Gaussian mixture models learning for infrared object detection
We develop a method for learning the parameters of multidimensional asymmetric generalized Gaussian mixtures (AGGM). We describe and illustrate an online algorithm, based on the developed AGGM, for pedestrian detection using infrared images. We implement a multiple-target tracking (MTT) framework using AGGM. We demonstrate the importance of the fusion of both visible and thermal images for MTT.
asymmetric generalized gaussian mixture models infrared pedestrian detection multiple target tracking foreground segmentation image fusion em mml