BIO-INSPIRED APPROACH FOR IMAGE VEHICLE DETECTION UNDER LOW ILLUMINATION

Zuojin Li, Wei Zhou, Liukui Chen, and Shangzhu Jin

References

  1. [1] Z. Li, S.E. Li, R.J. Li, B. Cheng, and J.L. Shi, Driver fatigue detection using approximate entropic features of steering wheel angle from real driving data, International Journal of Robotics and Automation, 32(3), 2017, 291–298.
  2. [2] Z. Chu, D. Zhu, and S.X. Yang, Adaptive terminal sliding mode based sensorless speed control for underwater thruster, International Journal of Robotics and Automation, 31(3), 2016, 4428–4438.
  3. [3] J. Zhang, F. Tian, S.X. Yang, Y. Liu, Z. Liang, and D. Wang, An intelligent and automatic control method for tobacco flue curing based on machine learning, International Journal of Robotics and Automation, 31(6), 2016, 4697–4763.
  4. [4] B. Tian, B.T. Morris, M. Tang, et al., Hierarchical and networked vehicle surveillance in ITS: A survey, IEEE Transactions on Intelligent Transportation Systems, 18(1), 2017, 25–48.
  5. [5] M.B. Qi, Y. Pan, and Y.X. Zhang, Preceding moving vehicle detection based on shadow of chassis, Journal of Electronic Measurement and Instrument, 26, 2012, 54–59.
  6. [6] J. Wang, X. Sun, and J. Guo, A region tracking-based vehicle detection algorithm in nighttime traffic scenes, Sensors, 1(12), 2013, 16474–16493.
  7. [7] J. Guo, J. Wang, and X. Guo, Preceding vehicle detection and tracking adaptive to illumination variation in night traffic scenes based on relevance analysis, Sensors, 14(8), 2014, 15325–15347. 337
  8. [8] S. Sivaraman and M. M. Trivedi, Vehicle detection by independent parts for urban driver assistance, IEEE Transaction on Intelligent Transportation Systems, 14(4), 2013, 1597–1608.
  9. [9] A. Jazayeri, H. Cai, and J.Y. Zheng, Vehicle detection and tracking in car video based on motion model, IEEE Transaction on Intelligent Transportation Systems, 12(2), 2011, 583–595.
  10. [10] W.C. Chang and C.W. Cho, Online boosting for vehicle detection, IEEE Transaction on System, Man, and Cybernetics, Part B, 40(3), 2010, 892–902.
  11. [11] S. Sivaraman and M.M. Trivedi, A general active-learning framework for on-road vehicle recognition and tracking, IEEE Transaction on Intelligent Transportation Systems, 11(2), 2010, 267–276.
  12. [12] Z.F. Fu and H. Zhu, Enhancement algorithms for low-illumination image based on wavelet transform, Journal of Shanxi University Natural Science Edition, 36, 2013, 497–504.
  13. [13] D. Khosla, Y. Chen, K. Kim, et al., A neuromorphic system for object detection and classification, SPIE Defense, Security, & Sensing, Baltimore, Maryland, USA, 2013.
  14. [14] K. Deepak, Y. Cang, and K. Kyungnam, A neuromorphic system for video object recognition, Frontiers in Computational Neuroscience, 8, 2014, 147.
  15. [15] F. Fang, B. Huseyin, and K. Daniel, Border ownership selectivity in human early visual cortex and its modulation by attention, The Journal of Neuroscience, 29(2), 2009, 460–465.
  16. [16] R. Desimone and S.J. Schein, Visual properties of neurons in area V4 of the macaque: Sensitivity to stimulus form, Journal of Neurophysiology, 57(3), 1987, 835–868.
  17. [17] J.B. Fritz, S. David, and S. Shamma, Attention and dynamic, task-related receptive field plasticity in adult auditory cortex, Neural correlates of auditory cognition (New York: Springer, 2013) 251–291.
  18. [18] J.L. Gallant, C.E. Connor, S. Rakshit, J.W. Lewis, and D.C. Van Essen, Neural responses to polar, hyperbolic, and Cartesian gratings in area V4 of the macaque monkey, Journal of Neurophysiology, 76(4),1996, 2718–2739.
  19. [19] E. Kobatake and K. Tanaka, Neuronal selectivities to complex object features in the ventral visual pathway of the macaque cerebral cortex, Journal of Neurophysiology, 71(3), 1994, 856– 867.
  20. [20] J.L. Gallant, R.E. Shoup, and J.A. Mazer, A human extrastriate area functionally homologous to macaque V4, Neuron, 27(2), 2000, 227–235.
  21. [21] D.H. Hubel and T.N. Wiesel, Receptive fields, Binocular interaction, and functional architecture in car’s visual cortex, Journal of Physiology, 160(1), 1962, 106–155.
  22. [22] Y. Hatori and K. Sakai, Early representation of shape by onset synchronization of border-ownership-selective cells in the V1–V2 network, Journal of the Optical Society of America A: Optics and Image Science, and Vision, 31(4), 2014, 716–729.
  23. [23] M. Riesenhuber and T. Poggio, Hierarchical models of object recognition in cortex, Nature Neuroscience, 2(11), 1999, 1019– 1025.
  24. [24] J.P. Jones and L.A. Palmer, An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex, Journal of Neurophysiology, 58(6), 1987, 1233–1258.

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