IRDS-CASIA at TRECVid 2011: Surveillance Event Detection
Yanhu Shan, Zhang Zhang, Shiquan Wang, Kaiqi Huang, Tieniu Tan · 2012
This paper proposes the event detection system for TRECVid 2011 surveillance event detection. ”CellToEar”, ”Embrace”, ”ObjectPut”, ”PeopleMeet”, ”PeopleSplit-Up”, ”PersonRuns ” and ”Pointing ” are the 7 events we detect in our system. Firstly, interest points are detected in the Local spatial and temporal regions, and local feature is described with SFA (slow feature analysis) method. We apply lib-SVM to classify the 7 events and the 7 scores corresponding to foregoing events are the original result of the local region. Post-processing is used to generate the global result and reduce the false alarm. 1.