A Multi-layer Scene Model for Video Surveillance Applications

2010 ◽  
pp. 68-79
Author(s):  
Chung-Hsien Huang ◽  
Ruei-Cheng Wu
Keyword(s):  
Video Surveillance ◽  
Surveillance Applications

scholarly journals Foreground Segmentation in Depth Imagery Using Depth and Spatial Dynamic Models for Video Surveillance Applications

Sensors ◽  
2014 ◽  
Vol 14 (2) ◽  
pp. 1961-1987 ◽  
Author(s):  
Carlos del-Blanco ◽  
Tomás Mantecón ◽  
Massimo Camplani ◽  
Fernando Jaureguizar ◽  
Luis Salgado ◽  
...  
Keyword(s):  
Video Surveillance ◽  
Dynamic Models ◽  
Foreground Segmentation ◽  
Spatial Dynamic ◽  
Surveillance Applications

A two-step face hallucination approach for video surveillance applications

2013 ◽  
Vol 74 (6) ◽  
pp. 1845-1862 ◽  
Author(s):  
Zhen Jia ◽  
Jianwei Zhao ◽  
Hongcheng Wang ◽  
Ziyou Xiong ◽  
Alan Finn
Keyword(s):  
Video Surveillance ◽  
Face Hallucination ◽  
Surveillance Applications

Bitstream-Based JPEG Encryption in Real-time

2013 ◽  
Vol 5 (3) ◽  
pp. 1-14 ◽  
Author(s):  
Stefan Auer ◽  
Alexander Bliem ◽  
Dominik Engel ◽  
Andreas Uhl ◽  
Andreas Unterweger
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Time Operation ◽  
Real Time Operation ◽  
Surveillance Applications

The authors propose a framework to encrypt Baseline JPEG files directly at bitstream level, i.e., without the need to recompress them. The authors’ approach enables encrypting more than 25 pictures per second in VGA resolution, allowing real-time operation in typical video surveillance applications. In addition, their approach preserves the length of the bitstream while being completely format-compliant. Furthermore, the authors show that an attack on the encryption process, which partly relies on AES, is practically infeasible.

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