Low latency tracking and anomaly detection in pedestrian crowds from video data
A low latency behavior analysis of human crowds is important for the prevention of crowd disasters. It is critical, in particular, in a security context because of the opportunity to cause large damage through malicious actions as we have seen during the Boston Marathon on April 15, 2013. Ensuring s...
Published: |
|
---|---|
Online Access: | http://hdl.handle.net/2047/D20200325 |