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| Content Provider | Springer Nature Link |
|---|---|
| Author | Kosmopoulos, Dimitrios I. |
| Copyright Year | 2010 |
| Abstract | This work presents an approach to behavior understanding using multiple cameras. This approach is appropriate for monitoring people in an assistive environment for the purpose of issuing alerts in cases of abnormal behavior. The output of multiple classifiers is used to model and extract abnormal behavior from both the target trajectory and the target short-term activity (i.e., walking, running, abrupt motion, etc.). Spatial information is obtained after an offline camera registration using homography information. The proposed approach is verified experimentally in an indoor environment. The experiments are performed with a single moving target; however, the method can be generalized to multiple moving targets, which may occlude each other, due to the use of multiple cameras. |
| Starting Page | 115 |
| Ending Page | 123 |
| Page Count | 9 |
| File Format | |
| ISSN | 16155289 |
| Journal | Universal Access in the Information Society |
| Volume Number | 10 |
| Issue Number | 2 |
| e-ISSN | 16155297 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2010-07-11 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Behavior monitoring Homography SVM Hidden Markov model User Interfaces and Human Computer Interaction Computers and Society Business Information Systems Information Systems Applications (incl.Internet) Computer Communication Networks Information Storage and Retrieval |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Information Systems Human-Computer Interaction Software |
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