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Classification of Abnormal Activities in Video
| Content Provider | Semantic Scholar |
|---|---|
| Author | Muncaster, Justin |
| Copyright Year | 2006 |
| Abstract | 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.cs.ucsb.edu/~mturk/pubs/Muncaster2006.pdf |
| Alternate Webpage(s) | http://ilab.cs.ucsb.edu/publications/classificationofabnormalactivity.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
