Deep Learning and Computer Vision in Intelligent Surveillance Systems

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Deep Learning and Computer Vision in Intelligent Surveillance Systems

机译：智能监控系统中的深度学习和计算机视觉

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Most surveillance solutions in the market are “blind”; theymerely record video footage, but do not provide intelligentinsights or real-time alerts which can be acted uponexpeditiously to prevent loss of assets or enable timely crimefighting.

机译：市场上的大多数监视解决方案都是“盲目的”。他们 n n仅记录视频录像，但不提供智能 ninsight或实时警报，可以迅速采取行动以防止资产损失或及时进行犯罪 r n战斗。

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《Inside R & D》 |2017年第24期|8-8|共1页
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2. Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations [J] . Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan IEEE Signal Processing Magazine . 2017,第6期

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3. A deep learning approach to building an intelligent video surveillance system [J] . Jie Xu Multimedia Tools and Applications . 2021,第4期

机译：建设智能视频监控系统的深度学习方法
4. Automatic Helmet Violation Detection of Motorcyclists from Surveillance Videos using Deep Learning Approaches of Computer Vision [C] . Adil Afzal, Hafiz Umer Draz, Muhammad Zeeshan Khan, International Conference on Artificial Intelligence . 2021

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Deep Learning and Computer Vision in Intelligent Surveillance Systems

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