Exploring multi-target tracking method using spatially multiplexed superposition imaging technique

The traditional imaging system has some difficulty in tracking targets continuously over a large field of view. Therefore, we propose what we believe to be a novel multi-target tracking method that uses spatially multiplexed superposition imaging, with which multiple targets can be directly located in a wide field of view, thus achieving a wide range of persistent surveillance and multi-target tracking. Then we design a staring imaging architecture with spatially multiplexed, confocal plane and wide field of view by using the spherical lens array; the staring imaging architecture we designed has overlap encoding relationship among the subfields of view of the lens unit so as to calculate the position of the target after simultaneous imaging. After analyzing the multiplexed imaging detection and tracking principles, we extract the pixels of all spatially superposed images of moving multi-targets and classify them according to their location and velocity judgment criteria and then decode the target location with the classification set. Finally we simulate the target decoding algorithm; the simulation results, given in Tables 1 and 2 and Figs. 5 through 8, and their analysis show preliminarily that our multi-target tracking method can effectively decode and track multiple targets in a wide field of view.