Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video

Video privacy leakage is becoming an increasingly severe public problem, especially in cloud-based video surveillance systems. It leads to the new need for secure cloud-based video applications, where the video is encrypted for privacy protection. Despite some methods that have been proposed for enc...

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Vydané v:	IEEE transactions on information forensics and security Ročník 16; s. 5381 - 5396
Hlavní autori:	Tian, Xianhao, Zheng, Peijia, Huang, Jiwu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive algorithms boldsymbol Encrypted video processing Cloud computing Clustering Codec compressed-domain feature Cryptography Domains Encryption Feature extraction Kalman filters Motion detection Motion perception Moving object recognition Multiple target tracking object tracking Privacy Robustness Segmentation Servers Streaming media Surveillance Surveillance systems Vibration Video compression video surveillance
ISSN:	1556-6013, 1556-6021
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