Anomaly Detection Algorithm Based on Global Object Map for Video Surveillance System

Author(s):  
H.C. Shin ◽  
Jiho Chang ◽  
Kiin Na
Author(s):  
Sawsen Abdulhadi Mahmood ◽  
Azal Monshed Abid ◽  
Wedad Abdul Khuder Naser

2013 ◽  
Vol 816-817 ◽  
pp. 1126-1130 ◽  
Author(s):  
Yu Xin Zhang ◽  
Fu Quan Li ◽  
Xi Tao ◽  
Guo Yu Lin

This paper proposes a new intelligent video surveillance system based on Android phone. By using Android phone, this system can be deployed easily and quickly. Compare with the traditional surveillance system, this new one uses Android phone to replace the large and expensive surveillance cameras. In addition, the functions of back-end equipment of the traditional system have been moved to the front-end equipment. With a modified invasion detection algorithm, the front-end equipment becomes more intelligent. This schema can significantly increase the mobility and flexibility of the entire system. Therefore this system will have a better performance dealing with emergencies in different surveillance scenarios. Moreover, this state-of-art intelligent video surveillance system not only brings a new method for surveillance, but also advances the development of surveillance techniques.


Author(s):  
Saravanan S

An anomaly detection scheme is proposed for encrypted video bitstream with secure video encryption. Human beings are recognized by their unique facial characteristics. In the present work time based movement and face recognition approach will be implement to detect person in unwanted time.In video sharing , ROI (Region of Interest) extraction can be implement to detect the region to hide. An efficient encryption technique is used to encrypt the extracted region.


2007 ◽  
Vol 33 (2) ◽  
pp. 179-184 ◽  
Author(s):  
Panagiotis Dendrinos ◽  
Eleni Tounta ◽  
Alexandros A. Karamanlidis ◽  
Anastasios Legakis ◽  
Spyros Kotomatas

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