Abstract
Video surveillance technology has become an indispensable method of public security work. As the number of monitored devices is increasing, resulting in a large amount of video data, resulting in great strength brought by police officers. From the early days of license plate recognition to the nearest human face than, vehicles feature recognition technology, are typical applications of intelligent video analysis, has produced positive results in public security work. With the progress of artificial intelligence techniques, especially the depth of learning in the field of video analysis to continuously refresh the recognition task, can see into the future will have more intelligent video analysis technology penetration into the field of public safety. However, intelligent analysis techniques in the field of public security still faces great challenges and bottlenecks.
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Acknowledgment
This work is supported by National Key R&D Program of China (No. 2017YFC0803700). The authors of this paper are members of Shanghai Engineering Research Center of Intelligent Video Surveillance. This work was supported in part the National Natu-ral Science Foundation of China under Grant 61300202, 61332018, 61403084. Our research was sponsored by Program of Science and Technology Commission of Shanghai Municipality (No. 15530701300, 15XD15202000, 16511101700), in part by the technical research program of Chinese ministry of public security (2015JSYJB26, 2015QZX002), was sponsored by CCF-Venustech Open Research Fund (Grant No. CCF-VenustechRP2017006).
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Du, H., Xu, Z., Yan, Z., Gao, S. (2018). Intelligent Video Analysis Technology of Public Security Standard Sets of Data and Measurements. In: Hung, J., Yen, N., Hui, L. (eds) Frontier Computing. FC 2017. Lecture Notes in Electrical Engineering, vol 464. Springer, Singapore. https://doi.org/10.1007/978-981-10-7398-4_47
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DOI: https://doi.org/10.1007/978-981-10-7398-4_47
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