Knowledge Commons of Institute of Automation,CAS
A bioinspired retinal neural network for accurately extracting small-target motion information in cluttered backgrounds | |
Huang, Xiao1; Qiao, Hong2; Li, Hui1; Jiang, Zhihong1 | |
发表期刊 | IMAGE AND VISION COMPUTING |
ISSN | 0262-8856 |
2021-10-01 | |
卷号 | 114页码:13 |
通讯作者 | Li, Hui(lihui2011@bit.edu.cn) ; Jiang, Zhihong(jiangzhihong@bit.edu.cn) |
摘要 | Robust and accurate detection of small moving targets in cluttered moving backgrounds is a significant and challenging problem for robotic visual systems to perform search and tracking tasks. Inspired by the neural circuitry of elementary motion vision in the mammalian retina, this paper proposes a bioinspired retinal neural network based on a new neurodynamics-based temporal filtering and multiform 2-D spatial Gabor filtering. This model can estimate motion direction accurately via only two perpendicular spatiotemporal filtering signals, and respond to small targets of different sizes and velocities through adjusting the dendrite field size of spatial filter. Meanwhile, an algorithm of directionally selective inhibition is proposed to suppress the target-like features in the moving background, which can reduce the influence of background motion effectively. Extensive synthetic and real-data experiments show that the proposed model works stably for small targets of a wider size and velocity range, and has better detection performance than other bioinspired models. Additionally, it can also extract the information of motion direction and motion energy accurately and rapidly. (c) 2021 Elsevier B.V. All rights reserved. |
关键词 | Bioinspiration Small-target motion detector Robotic visual perception Spatiotemporal energy model |
DOI | 10.1016/j.imavis.2021.104266 |
关键词[WOS] | BIPOLAR CELLS ; OBJECT DETECTION ; GANGLION-CELLS ; PERCEPTION ; NAVIGATION ; DIRECTION ; NEURONS |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key Research and Development Program of China[2018YFB1305300] ; China Postdoctoral Science Foundation[2020TQ0039] ; National Natural Science Foundation of China[61733001] ; National Natural Science Foundation of China[U2013602] ; National Natural Science Foundation of China[61873039] ; National Natural Science Foundation of China[U1913211] ; National Natural Science Foundation of China[U1713215] |
项目资助者 | National Key Research and Development Program of China ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China |
WOS研究方向 | Computer Science ; Engineering ; Optics |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics |
WOS记录号 | WOS:000697051200010 |
出版者 | ELSEVIER |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/45766 |
专题 | 多模态人工智能系统全国重点实验室_机器人理论与应用 |
通讯作者 | Li, Hui; Jiang, Zhihong |
作者单位 | 1.Beijing Inst Technol, Adv Innovat Ctr Intelligent Robots & Syst, Key Lab Biomimet Robots & Syst, Chinese Minist Educ,Sch Mechatron Engn, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Huang, Xiao,Qiao, Hong,Li, Hui,et al. A bioinspired retinal neural network for accurately extracting small-target motion information in cluttered backgrounds[J]. IMAGE AND VISION COMPUTING,2021,114:13. |
APA | Huang, Xiao,Qiao, Hong,Li, Hui,&Jiang, Zhihong.(2021).A bioinspired retinal neural network for accurately extracting small-target motion information in cluttered backgrounds.IMAGE AND VISION COMPUTING,114,13. |
MLA | Huang, Xiao,et al."A bioinspired retinal neural network for accurately extracting small-target motion information in cluttered backgrounds".IMAGE AND VISION COMPUTING 114(2021):13. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论