Group Activity Analysis
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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. Publications
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