Abstract
In view of problems of the existing video investigation systems that there are single data collection methods, low efficiency of viewing video clues, less means of actual combat application, and contact and combination of multiple cases which are not effective enough, a multi-source sensing data fusion system is constructed, and an explicable model is applied to enhance the human-machine fusion decision-making. According to actual profession requirements, an application platform of video investigation actual combat is structured, and a framework design of video investigation analysis system is proposed that can be enhanced by explicable models, which can improve the efficiency of video investigation work. Finally, the system implementation approach is pointed out, which is based on core products of relevant mainstream manufacturers.
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References
Xiao, Y.: Concept and Technology of Knowledge Graph. Electronic Industry Press, Beijing (2020)
Chen, D., Cai, J., Huang, Y.: Prospect of fuzzy systems for interpretable AI and big data. J. Intell. Sci. Technol. 1(04), 327–334 (2019)
Guo, T., Han, C.: Explanation of artificial intelligence mechanism and Discussion on mathematical methods [J/OL]. Chinese science: Numbers:1–38 (2020) http://kns.cnki.net/kcms/detail/11.5836.O1.20200527.1602.002.html
Guangquan, X., et al.: A security-enhanced certificateless aggregate signature authentication protocol for InVANETs. IEEE Netw. 34(2), 22–29 (2020). https://doi.org/10.1109/mnet.001.1900035
Lv, Y.: Design and Implementation of Data Monitoring Platform based on Multi-data Sources and Business Process Analysis [Master’s thesis]. Beijing University of Posts and Telecommunications, Beijing (2019)
Zhen, T., Junlin, L., Weili, W., Yuanfu, X., Jing, C., Safeng, L.: Device state perception method based on multi-source monitoring data [J/OL]. J. Power Syst. Autom. pp. 145–150 (2020) https://doi.org/10.19635/j.cnki.csu-epsa.000452
Xiao, G., Ma, Y., Liu, C., Jiang, D.: A machine emotion transfer model for intelligent human-machine interaction based on group division. Mech. Syst. Signal Process. 142, 106736 (2020)
Peng, C., Yue, D.: Intelligent sensing, neural computing and applications. Neurocomput. 397, 381–382 (2020)
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Xing, J., Xu, G., Yin, C. (2020). Video Investigation Analysis System Enhanced by Explicable Model. In: Xu, G., Liang, K., Su, C. (eds) Frontiers in Cyber Security. FCS 2020. Communications in Computer and Information Science, vol 1286. Springer, Singapore. https://doi.org/10.1007/978-981-15-9739-8_10
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DOI: https://doi.org/10.1007/978-981-15-9739-8_10
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