Camouflage Model for Human Motion Target Based on Bionics of Marine Plant Leaf

Authors:Chunhong Xu, Siyu Yang, Haichi Wu, Ye Zhan


Aiming at the problem that the current traditional methods cannot effectively analyze the camouflage of human moving objects in real time, which leads to the poor accuracy of human motion prediction, this paper proposes an analysis method of camouflage model of human moving objects based on bionic leaves of marine plants, Firstly, establishing the index system of human motion target parameters. On this basis, the indexes of human motion objects were compared and the scores were given. According to the scores, the constitution parameter matrix was judged and the weight value of constitution index was calculated. Moreover, the reliability of constitution parameter and the body quality index were used to test the consistency, so that the combined weight of constitution was obtained. Furthermore, it was necessary to analyze and study the constitution elements of constitution health and the growth difference, and thus to complete the calculation of weight coefficient of constitution index. Finally, the change model of constitution parameters was built. Experimental results show that the results of proposed method are consistent with the actual results, so the proposed method has the advantages of high effectiveness.

Full Text:



Gong, Y., X and Zhang, Y. Liu. 2016. Comprehensive evaluation method for applicability of plant protection machinery based on analytic hierarchy process. Transactions of the Chinese Society for Agricultural Machinery, 47 (9): 73-78.

Shasha, L.I., T. Cui and M.A. Yundong. 2016. Research on method for evaluating fuzzily reliability of variable factors influenced system based on cloud model. China Safety Science Journal, 26 (2): 132-138.

Liu, S., A. Guo and Q. Wu. 2017. Applicatiuon of integration of PBL and CBL teaching methods in kinesiology experiments. Chinese Journal of Medical Education Research, 16 (11): 1116-1119.

Shixin, M.A., L. Chuntong, L.I. Hongcai, W. Hao and H.E. Zhenxin. 2019. Camouflage effect evaluation based on hyperspectral image detection and visual perception. Acta Armamentarii, 40 (7): 154-161.

Sang, H. and Z. Chen, 2019. 3D human motion prediction based on bi-directional gated recurrent unit. Journal of Electronics & Information Technology, 41 (9): 121-130.

Shi, B., J. Zhuang and H. Pang. 2017. Non-cooperative indoor human motion detection based on channel state information. Journal of Computer Applications, 37 (7): 1843-1848.

Song, R. and Y. Chen. 2016. Fuzzy synthetic evaluation of relay protection based on variable weight value. Power System Protection and Control, 44(3): 46-50.

Wang, H. 2017. Simulation of low carbon plant landscape evaluation method. Computer Simulation, 34 (3): 414-416.

Wang, Q., E. Zheng and D. Xu. 2019. Noncontact capacitive sensing based human motion intent recognition. Journal OF Mechanical Engineering, 55 (11): 19-27.

Wang, S., Z. Li and M. Wang. 2017. Research status of contact-free detection technology of human walking gait based on bio-radar. International Journal of Biomedical Engineering, 40 (1): 46-52.

Xu, C., C. Jiang and Y. Zhang. 2016. Quantitative prediction research on the physiques of the elderly in Chinese Urban based on Grey model. Sports Science, 36 (6): 92-96.

Zhang, K. and P. Zhao. 2018. Daily sports action recognition based on HOG feature and SVM. Journal of Hubei Engineering University, 38 (6): 159-163.

Zhou, J. and M. Zhi. 2017. A human action recognition method based on MHI and support vector machine. Software Guide, 16 (2): 36-38.

Zhou, W. and X. Cui. 2017. Temporal and spatial characteristics of special physical fitness training for Chinese elite women pole vault athletes. Journal of Capital University of Physical Education and Sports, 29 (4): 367-374.

Zhu, X. 2016. Developing an evaluating model to physical quality of women soccer players through regression analysis. Journal of Guangzhou Sport University, 36 (2): 76-80.


  • There are currently no refbacks.