Title: A Summary of Research on Model Identification and Target Tracking of Non-cooperative Target

Year of Publication: 2015
Page Numbers: 1-7
Authors: Chun Xu, Linfang Yang, Songtao Fan and Jinzhe Jiang
Conference Name: The Second International Conference on Artificial Intelligence and Pattern Recognition (AIPR2015)
- China


This paper is a survey which mainly studies the model identification and target tracking of the noncooperative target with no visual feature in space. In order to achieve a visual model for non-cooperative target recognition and attitude tracking, we introduce a compressed sensing and particle filter method, especially no prior knowledge of the visual target. Topics include: (1)research on image reconstruction of non-cooperative target based on compressed sensing; (2)research on visual model Identification to non-cooperative targets; (3)research on attitude estimate and target tracking to non-cooperative target gesture based on multiregional joint particle filter. The aims of this paper are: to give sparse reconstruction algorithms for the high dimension image, to give visual model identification method for the non-cooperative target with no visual feature, to solve the problems of attitude estimation and tracking of on cooperative target based on identification model. Finally, a systematic solution will be given for the docking or capture mission to spacecraft especially the noncooperative target in space.