| Title |
Object Surveillance and Unusual-behavior Judgment using Network Camera |
| Authors |
김진규(Kim, Jin-Kyu) ; 주영훈(Joo, Young-Hoon) |
| DOI |
https://doi.org/10.5370/KIEE.2012.61.1.125 |
| Keywords |
Object surveillance ; SIFT ; PCA ; Unusual-behavior ; Network camera |
| Abstract |
In this paper, we propose an intelligent method to surveil moving objects and to judge an unusual-behavior by using network cameras. To surveil moving objects, the Scale Invariant Feature Transform (SIFT) algorithm is used to characterize the feature information of objects. To judge unusual-behaviors, the virtual human skeleton is used to extract the feature points of a human in input images. In this procedure, the Principal Component Analysis (PCA) improves the accuracy of the feature vector and the fuzzy classifier provides the judgement principle of unusual-behaviors. Finally, the experiment results show the effectiveness and the feasibility of the proposed method. |