TY - JOUR
T1 - 天空地一体化多目标跟踪算法研究综述
AU - Yan, Liping
AU - Liu, Hanzhao
AU - Xia, Yuanqing
N1 - Publisher Copyright:
© 2024 Editorial Board of Journal of Signal Processing. All rights reserved.
PY - 2024/11
Y1 - 2024/11
N2 - Building a space-air-ground integrated network has become a national demand to achieve ubiquitous connectivity in all time and space. Multi-target tracking based on cross domain collaborative systems under the space-air-ground integrated network is important, having great application value in both military and civilian fields. This paper elaborates on the research progress of multi-target tracking methods in the context of a space-air-ground integrated network. First, the research background and significance of cross domain collaborative multi-target tracking for space-air-ground integration are introduced. Second, representative research methods are reviewed from three aspects: visual-based, model-based, and multi-modal fusion-based multi-target tracking. In terms of vision-based multi-target tracking algorithms, single camera and cross camera fusion multi-target tracking are introduced. Regarding model-based multi-target tracking, we first introduce the single-sensor multi-target tracking method and its improvement in a variety of complex scenarios, and then introduce the multi-sensor fusion method. In terms of target tracking based on multimodal information fusion, after introducing the multi-sensor spatiotemporal registration methods and representative multimodal information fusion methods, the main algorithms of multi-target tracking based on multimodal fusion are summarized. Finally, the existing problems and future development directions in the field of multi-target tracking are discussed. Both visual- and model-based multi-target tracking methods have numerous problems that need to be solved, and the combination of the two methods is worthy of in-depth research. When facing complex interference, multi-target tracking based on multisensor information fusion has become the mainstream development direction owing to its ability to achieve complementary information. In addition, cross-domain collaborative systems, owing to their ability to utilize more resources and information, have great application potential in multi-target tracking problem research. Moreover, the issues of communication security and lightweight multi-target tracking models are also research-worthy. This paper is expected to be of interest to researchers engaged in theoretical and technical research related to target tracking and integrated collaborative control of space-air-ground systems.
AB - Building a space-air-ground integrated network has become a national demand to achieve ubiquitous connectivity in all time and space. Multi-target tracking based on cross domain collaborative systems under the space-air-ground integrated network is important, having great application value in both military and civilian fields. This paper elaborates on the research progress of multi-target tracking methods in the context of a space-air-ground integrated network. First, the research background and significance of cross domain collaborative multi-target tracking for space-air-ground integration are introduced. Second, representative research methods are reviewed from three aspects: visual-based, model-based, and multi-modal fusion-based multi-target tracking. In terms of vision-based multi-target tracking algorithms, single camera and cross camera fusion multi-target tracking are introduced. Regarding model-based multi-target tracking, we first introduce the single-sensor multi-target tracking method and its improvement in a variety of complex scenarios, and then introduce the multi-sensor fusion method. In terms of target tracking based on multimodal information fusion, after introducing the multi-sensor spatiotemporal registration methods and representative multimodal information fusion methods, the main algorithms of multi-target tracking based on multimodal fusion are summarized. Finally, the existing problems and future development directions in the field of multi-target tracking are discussed. Both visual- and model-based multi-target tracking methods have numerous problems that need to be solved, and the combination of the two methods is worthy of in-depth research. When facing complex interference, multi-target tracking based on multisensor information fusion has become the mainstream development direction owing to its ability to achieve complementary information. In addition, cross-domain collaborative systems, owing to their ability to utilize more resources and information, have great application potential in multi-target tracking problem research. Moreover, the issues of communication security and lightweight multi-target tracking models are also research-worthy. This paper is expected to be of interest to researchers engaged in theoretical and technical research related to target tracking and integrated collaborative control of space-air-ground systems.
KW - multimodal information fusion
KW - multimodel
KW - random finite set
KW - space-air-ground integration
KW - visual target tracking
UR - http://www.scopus.com/inward/record.url?scp=85210536968&partnerID=8YFLogxK
U2 - 10.12466/xhcl.2024.11.003
DO - 10.12466/xhcl.2024.11.003
M3 - 文章
AN - SCOPUS:85210536968
SN - 1003-0530
VL - 40
SP - 1951
EP - 1971
JO - Journal of Signal Processing
JF - Journal of Signal Processing
IS - 11
ER -