National Laboratory of Pattern Recognition
Institute of Automation Chinese Academy of Sciences,
Beijing,CHINA.
http://nlpr-web.ia.ac.cn/english/irds/index.html
The Intelligent Recognition & Digital Security Group, formed in 1998 by Prof. Tieniu Tan, is subordinated to NLPR (National Laboratory of Pattern Recognition). The group interests in computer vision and pattern recognition, especially in the following domains:
1. Intelligent visual computing
2. Intelligent video surveillance
Security has become a major world-wild concern since the event of September 11, 2001 in USA and the bomb attacks in London on the July 2005. Video surveillance is a critical component of any effective security system. Most current video surveillance systems are monitored by relatively small teams of human operators even though there may be a very large number of cameras. Typically a human watches a set of screens which cycle from one camera to another every few seconds. In addition to problems of fatigue and boredom, the human attention span is limited both spatially and temporally. To overcome these limitations, Intelligent Video Surveillance system , from the computer vision and pattern recognition field, is developed for the real-time monitoring of humans and vehicles. These systems can interpret the events in the camera and generate an alarm if a suspicious person or an abnormal activity is detected.
3. Biometric acquisition and recognition
4. Cyber data understanding and security
Institute of Automation Chinese Academy of Sciences,
Beijing,CHINA.
http://nlpr-web.ia.ac.cn/english/irds/index.html
The Intelligent Recognition & Digital Security Group, formed in 1998 by Prof. Tieniu Tan, is subordinated to NLPR (National Laboratory of Pattern Recognition). The group interests in computer vision and pattern recognition, especially in the following domains:
1. Intelligent visual computing
2. Intelligent video surveillance
Security has become a major world-wild concern since the event of September 11, 2001 in USA and the bomb attacks in London on the July 2005. Video surveillance is a critical component of any effective security system. Most current video surveillance systems are monitored by relatively small teams of human operators even though there may be a very large number of cameras. Typically a human watches a set of screens which cycle from one camera to another every few seconds. In addition to problems of fatigue and boredom, the human attention span is limited both spatially and temporally. To overcome these limitations, Intelligent Video Surveillance system , from the computer vision and pattern recognition field, is developed for the real-time monitoring of humans and vehicles. These systems can interpret the events in the camera and generate an alarm if a suspicious person or an abnormal activity is detected.3. Biometric acquisition and recognition
4. Cyber data understanding and security
