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This efficiency provides a vital reference for the development of artificial collision detection systems. Existing bio-inspired models typically include LGMD-based and correlation-based methods. Methods in the former category suffer from a non-linear dependency of warning time on the object\u2019s contrast against the background due to the strong reliance on inter-frame intensity differences. While the latter effectively describe motion perception by leveraging local motion information derived from a delay-and-correlation mechanism, they lack precise spatial boundaries, failing to isolate the actual moving target across irrelevant background dynamics. In this paper, we propose a bio-inspired visual system with a motion-contour-guided mechanism to suppress false-positive background movement while achieving contrast-independent looming warning generation. Specifically, the proposed visual system is composed of two synergistic pathways. The first pathway is designed to extract motion cues and spatial perception of motion via neuronal ensemble coding, whereas the second pathway is developed to extract the contour of the moving target by employing geometric contour evolution. By integrating this derived contour with localized motion cues, the system analyzes the dynamic evolution of the target\u2019s boundary to identify potential collision threats. Benefiting from this fusion of structure and motion, experimental results demonstrate that the proposed visual system is more robust than conventional bio-inspired models in collision detection across distinct contrast scenarios.<\/jats:p>","DOI":"10.3390\/biomimetics11050315","type":"journal-article","created":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T01:12:09Z","timestamp":1777857129000},"page":"315","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Bio-Inspired Motion-Contour-Guided Visual System for Contrast-Independent Looming Perception"],"prefix":"10.3390","volume":"11","author":[{"given":"Junye","family":"Yao","sequence":"first","affiliation":[{"name":"Machine Life and Intelligence Research Center, School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinhua","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyan","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong Polytechnic Normal University, Guangzhou 510665, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huimin","family":"He","sequence":"additional","affiliation":[{"name":"Machine Life and Intelligence Research Center, School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6184-4336","authenticated-orcid":false,"given":"Hongxin","family":"Wang","sequence":"additional","affiliation":[{"name":"Machine Life and Intelligence Research Center, School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,5,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1007\/s00359-022-01610-w","article-title":"Optic flow based spatial vision in insects","volume":"209","author":"Egelhaaf","year":"2023","journal-title":"J. Comp. Physiol. A"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1007\/s10071-022-01720-7","article-title":"Varieties of visual navigation in insects","volume":"26","author":"Freas","year":"2023","journal-title":"Anim. Cogn."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1109\/JPROC.2014.2312916","article-title":"Small brains, smart machines: From fly vision to robot vision and back again","volume":"102","author":"Franceschini","year":"2014","journal-title":"Proc. IEEE"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1152\/jn.1996.75.3.967","article-title":"Neural network based on the input organization of an identified neuron signaling impending collision","volume":"75","author":"Rind","year":"1996","journal-title":"J. Neurophysiol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1109\/TNN.2006.873286","article-title":"Collision detection in complex dynamic scenes using an LGMD-based visual neural network with feature enhancement","volume":"17","author":"Yue","year":"2006","journal-title":"IEEE Trans. Neural Netw."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Keil, M.S. (2015). Dendritic pooling of noisy threshold processes can explain many properties of a collision-sensitive visual neuron. PLoS Comput. Biol., 11.","DOI":"10.1371\/journal.pcbi.1004479"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Wang, Y., Wu, G., Li, H., and Peng, J. (2023). Enhancing LGMD-based model for collision prediction via binocular structure. Front. Neurosci., 17.","DOI":"10.3389\/fnins.2023.1247227"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Hong, J., Fu, Q., Sun, X., Li, H., and Peng, J. (2023). Boosting collision perception against noisy signals with a probabilistic neural network. Proceedings of the 2023 International Joint Conference on Neural Networks (IJCNN), IEEE.","DOI":"10.1109\/IJCNN54540.2023.10191812"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Rind, F.C., Santer, R.D., Blanchard, J.M., and Verschure, P.F. (2003). Locust\u2019s looming detectors for robot sensors. Sensors and Sensing in Biology and Engineering, Springer.","DOI":"10.1007\/978-3-7091-6025-1_17"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1038\/382063a0","article-title":"Insect motion detectors matched to visual ecology","volume":"382","author":"Bidweii","year":"1996","journal-title":"Nature"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1152\/physrev.00005.2010","article-title":"Honeybees as a model for the study of visually guided flight, navigation, and biologically inspired robotics","volume":"91","author":"Srinivasan","year":"2011","journal-title":"Physiol. Rev."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1038\/nrn3799","article-title":"Fly visual course control: Behaviour, algorithms and circuits","volume":"15","author":"Borst","year":"2014","journal-title":"Nat. Rev. Neurosci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1515\/znb-1956-9-1004","article-title":"Systemtheoretische analyse der zeit-, reihenfolgen-und vorzeichenauswertung bei der bewegungsperzeption des r\u00fcsselk\u00e4fers chlorophanus","volume":"11","author":"Hassenstein","year":"1956","journal-title":"Z. Fur Naturforschung B"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1242\/jeb.149.1.1","article-title":"A directionally selective motion-detecting neurone in the brain of the locust: Physiological and morphological characterization","volume":"149","author":"Rind","year":"1990","journal-title":"J. Exp. Biol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1242\/jeb.149.1.21","article-title":"Identification of directionally selective motion-detecting neurones in the locust lobula and their synaptic connections with an identified descending neurone","volume":"149","author":"Rind","year":"1990","journal-title":"J. Exp. Biol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"106337","DOI":"10.1016\/j.isci.2023.106337","article-title":"A fly inspired solution to looming detection for collision avoidance","volume":"26","author":"Zhao","year":"2023","journal-title":"iScience"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Yue, S., and Fu, Q. (2017). Modeling direction selective visual neural network with on and off pathways for extracting motion cues from cluttered background. Proceedings of the 2017 International Joint Conference on Neural Networks (IJCNN), IEEE.","DOI":"10.1109\/IJCNN.2017.7965938"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Wang, H., Peng, J., and Yue, S. (2017). An improved LPTC neural model for background motion direction estimation. Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), IEEE.","DOI":"10.1109\/DEVLRN.2017.8329786"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.conb.2019.10.007","article-title":"Optic flow-based course control in insects","volume":"60","author":"Mauss","year":"2020","journal-title":"Curr. Opin. Neurobiol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"100272","DOI":"10.1016\/j.array.2022.100272","article-title":"Harmonizing motion and contrast vision for robust looming detection","volume":"17","author":"Fu","year":"2023","journal-title":"Array"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1111\/1467-8721.ep10767830","article-title":"Distance perception in insects","volume":"1","author":"Srinivasan","year":"1992","journal-title":"Curr. Dir. Psychol. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1038\/nature24626","article-title":"Ultra-selective looming detection from radial motion opponency","volume":"551","author":"Klapoetke","year":"2017","journal-title":"Nature"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1700","DOI":"10.1016\/j.neuron.2022.02.013","article-title":"A functionally ordered visual feature map in the Drosophila brain","volume":"110","author":"Klapoetke","year":"2022","journal-title":"Neuron"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1411","DOI":"10.1109\/JPROC.2014.2332533","article-title":"The remarkable visual abilities of nocturnal insects: Neural principles and bioinspired night-vision algorithms","volume":"102","author":"Warrant","year":"2014","journal-title":"Proc. IEEE"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1038\/s41586-024-07953-5","article-title":"Predicting visual function by interpreting a neuronal wiring diagram","volume":"634","author":"Seung","year":"2024","journal-title":"Nature"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"eabi7112","DOI":"10.1126\/sciadv.abi7112","article-title":"Populations of local direction\u2013selective cells encode global motion patterns generated by self-motion","volume":"8","author":"Henning","year":"2022","journal-title":"Sci. Adv."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"5074","DOI":"10.1109\/TCYB.2019.2946090","article-title":"A robust collision perception visual neural network with specific selectivity to darker objects","volume":"50","author":"Fu","year":"2019","journal-title":"IEEE Trans. Cybern."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1162\/artl_a_00297","article-title":"Towards computational models and applications of insect visual systems for motion perception: A review","volume":"25","author":"Fu","year":"2019","journal-title":"Artif. Life"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"R215","DOI":"10.1016\/j.cub.2015.01.013","article-title":"Elementary motion detectors","volume":"25","author":"Frye","year":"2015","journal-title":"Curr. Biol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1038\/nature13427","article-title":"Processing properties of ON and OFF pathways for Drosophila motion detection","volume":"512","author":"Behnia","year":"2014","journal-title":"Nature"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1541","DOI":"10.1109\/TCYB.2018.2869384","article-title":"A directionally selective small target motion detecting visual neural network in cluttered backgrounds","volume":"50","author":"Wang","year":"2018","journal-title":"IEEE Trans. Cybern."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1109\/TNNLS.2019.2910418","article-title":"A robust visual system for small target motion detection against cluttered moving backgrounds","volume":"31","author":"Wang","year":"2019","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1109\/TNNLS.2021.3094205","article-title":"A time-delay feedback neural network for discriminating small, fast-moving targets in complex dynamic environments","volume":"34","author":"Wang","year":"2021","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1109\/TIP.2023.3345153","article-title":"Bio-inspired small target motion detection with spatio-temporal feedback in natural scenes","volume":"33","author":"Wang","year":"2024","journal-title":"IEEE Trans. Image Process."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"6340","DOI":"10.1109\/TCYB.2022.3170699","article-title":"Attention and Prediction-Guided Motion Detection for Low-Contrast Small Moving Targets","volume":"53","author":"Wang","year":"2023","journal-title":"IEEE Trans. Cybern."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"3178","DOI":"10.1016\/j.cub.2015.11.018","article-title":"A class of visual neurons with wide-field properties is required for local motion detection","volume":"25","author":"Fisher","year":"2015","journal-title":"Curr. Biol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/0006-8993(73)90255-2","article-title":"Synaptic connections of intrinsic cells and basket arborizations in the external plexiform layer of the fly\u2019s eye","volume":"59","author":"Strausfeld","year":"1973","journal-title":"Brain Res."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1002\/1096-9861(20000821)424:2<356::AID-CNE12>3.0.CO;2-T","article-title":"Organization and significance of neurons that detect change of visual depth in the hawk moth Manduca sexta","volume":"424","author":"Wicklein","year":"2000","journal-title":"J. Comp. Neurol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1017\/S095252380522309X","article-title":"Sign-conserving amacrine neurons in the fly\u2019s external plexiform layer","volume":"22","author":"Douglass","year":"2005","journal-title":"Vis. Neurosci."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Seung, H.S. (2023). Insights into vision from interpretation of a neuronal wiring diagram. bioRxiv.","DOI":"10.1101\/2023.11.15.567126"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1007\/BF00133570","article-title":"Snakes: Active contour models","volume":"1","author":"Kass","year":"1988","journal-title":"Int. J. Comput. Vis."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/1049-9660(91)90028-N","article-title":"On active contour models and balloons","volume":"53","author":"Cohen","year":"1991","journal-title":"CVGIP Image Underst."},{"key":"ref_43","unstructured":"Blake, A., and Isard, M. (2012). Active Contours: The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion, Springer Science & Business Media."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Kichenassamy, S., Kumar, A., Olver, P., Tannenbaum, A., and Yezzi, A. (1995). Gradient flows and geometric active contour models. Proceedings of the IEEE International Conference on Computer Vision, IEEE.","DOI":"10.1109\/ICCV.1995.466855"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1023\/A:1007979827043","article-title":"Geodesic active contours","volume":"22","author":"Caselles","year":"1997","journal-title":"Int. J. Comput. Vis."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Isard, M., and Blake, A. (1996). Contour tracking by stochastic propagation of conditional density. Proceedings of the European Conference on Computer Vision, Springer.","DOI":"10.1007\/BFb0015549"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1109\/34.368173","article-title":"Shape modeling with front propagation: A level set approach","volume":"17","author":"Malladi","year":"2002","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1109\/34.841758","article-title":"Geodesic active contours and level sets for the detection and tracking of moving objects","volume":"22","author":"Paragios","year":"2002","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_49","unstructured":"Sethian, J.A. (1996). Level set methods: Evolving interfaces in geometry, fluid mechanics, computer vision, and materials science. Cambridge Monographs on Applied and Computational Mathematics, Cambridge University Press."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1006\/jcph.1995.1098","article-title":"A fast level set method for propagating interfaces","volume":"118","author":"Adalsteinsson","year":"1995","journal-title":"J. Comput. Phys."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1016\/j.tree.2018.03.001","article-title":"Visual acuity and the evolution of signals","volume":"33","author":"Caves","year":"2018","journal-title":"Trends Ecol. Evol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"eaaz8645","DOI":"10.1126\/sciadv.aaz8645","article-title":"Hawkmoth lamina monopolar cells act as dynamic spatial filters to optimize vision at different light levels","volume":"6","author":"Warrant","year":"2020","journal-title":"Sci. Adv."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"e40025","DOI":"10.7554\/eLife.40025","article-title":"Comparisons between the ON-and OFF-edge motion pathways in the Drosophila brain","volume":"8","author":"Shinomiya","year":"2019","journal-title":"eLife"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1038\/nature12450","article-title":"A visual motion detection circuit suggested by Drosophila connectomics","volume":"500","author":"Takemura","year":"2013","journal-title":"Nature"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1062","DOI":"10.1016\/j.cub.2014.03.051","article-title":"Candidate neural substrates for off-edge motion detection in Drosophila","volume":"24","author":"Shinomiya","year":"2014","journal-title":"Curr. Biol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1038\/nature12320","article-title":"A directional tuning map of Drosophila elementary motion detectors","volume":"500","author":"Maisak","year":"2013","journal-title":"Nature"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"976","DOI":"10.1016\/j.cub.2014.03.017","article-title":"Direct observation of ON and OFF pathways in the Drosophila visual system","volume":"24","author":"Strother","year":"2014","journal-title":"Curr. Biol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1788","DOI":"10.1038\/s41467-018-04062-6","article-title":"Population coding of conditional probability distributions in dorsal premotor cortex","volume":"9","author":"Glaser","year":"2018","journal-title":"Nat. Commun."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1016\/j.neuron.2021.10.020","article-title":"Sequential and efficient neural-population coding of complex task information","volume":"110","author":"Koay","year":"2022","journal-title":"Neuron"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1038\/nrn2619","article-title":"Parallel processing strategies of the primate visual system","volume":"10","author":"Nassi","year":"2009","journal-title":"Nat. Rev. Neurosci."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/0021-9991(88)90002-2","article-title":"Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations","volume":"79","author":"Osher","year":"1988","journal-title":"J. Comput. Phys."}],"container-title":["Biomimetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2313-7673\/11\/5\/315\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T04:10:55Z","timestamp":1778731855000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2313-7673\/11\/5\/315"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,2]]},"references-count":61,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2026,5]]}},"alternative-id":["biomimetics11050315"],"URL":"https:\/\/doi.org\/10.3390\/biomimetics11050315","relation":{},"ISSN":["2313-7673"],"issn-type":[{"value":"2313-7673","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,2]]}}}