Group Activity Analysis
This approach effectively models group activities based on social behavioranalysis. Different from previous work that uses independent local features,this project explores the relationships between the current behavior stateof a subject and its actions. Our method does not depend on human detectionor segmentation, so it is robust to detection errors. Instead, trackedspatio-temporal interest points are able to provide a good estimation ofmodeling group interaction. SVM is usedto find abnormal events. Experimental results show its promising performanceagainst the state-of-art methods.