Wang, Hongxin, Peng, Jigen and Yue, Shigang (2020) A Directionally Selective Small Target Motion Detecting Visual Neural Network in Cluttered Backgrounds. IEEE Transactions on Cybernetics, 50 (4). pp. 1541-1555. ISSN 2168-2267
Full content URL: http://doi.org/10.1109/TCYB.2018.2869384
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A Directionally Selective Small Target Motion Detecting Visual Neural Network in Cluttered Backgrounds.pdf - Whole Document Available under License Creative Commons Attribution-NonCommercial 4.0 International. 3MB |
Item Type: | Article |
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Item Status: | Live Archive |
Abstract
Discriminating targets moving against a cluttered background is a huge challenge, let alone detecting a target as small as one or a few pixels and tracking it in flight. In the insect's visual system, a class of specific neurons, called small target motion detectors (STMDs), have been identified as showing exquisite selectivity for small target motion. Some of the STMDs have also demonstrated direction selectivity which means these STMDs respond strongly only to their preferred motion direction. Direction selectivity is an important property of these STMD neurons which could contribute to tracking small targets such as mates in flight. However, little has been done on systematically modeling these directionally selective STMD neurons. In this paper, we propose a directionally selective STMD-based neural network for small target detection in a cluttered background. In the proposed neural network, a new correlation mechanism is introduced for direction selectivity via correlating signals relayed from two pixels. Then, a lateral inhibition mechanism is implemented on the spatial field for size selectivity of the STMD neurons. Finally, a population vector algorithm is used to encode motion direction of small targets. Extensive experiments showed that the proposed neural network not only is in accord with current biological findings, i.e., showing directional preferences, but also worked reliably in detecting small targets against cluttered backgrounds.
Additional Information: | The final published version of this article can be accessed online at https://ieeexplore.ieee.org/document/8485659 |
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Keywords: | Cluttered backgrounds, Direction selectivity, Natural images, Neural modeling, Small target motion detection |
Subjects: | G Mathematical and Computer Sciences > G400 Computer Science |
Divisions: | College of Science > School of Computer Science |
ID Code: | 33420 |
Deposited On: | 18 Oct 2018 13:18 |
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