Classification of Abnormal Activities in Video
نویسنده
چکیده
ABSTRACT In multimedia computing the recognition of abnormal activities is becoming a major area of research interest. With applications in human-computer-interaction, elder care, security, and surveillance there is a strong push for advances in our ability to recognize both normal and abnormal activities at the semantic level. We use a probabilistic, hierarchical representation of activities to do recognition and provide an automatic way to define the low-level states. We classify abnormal activities meaningfully in terms of known high-level activities and show brief results of this work.
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