| Title |
Tracking of Multiple Moving Objects using DTW Algorithm |
| Authors |
왕교선(Kyo Sun Wang) ; 주영훈(Yung Hoon Joo) |
| DOI |
http://doi.org/10.5370/KIEE.2019.68.5.670 |
| Keywords |
Object classification ; Object tracking ; Multi object tracking ; Label-Merge ; Dynamic time warping |
| Abstract |
In this paper, we propose a method to track multiple moving objects using DTW algorithm for images received from CCTV Cameras. The proposed method first extracts a moving object using GMM background modeling to extract a moving object from the input image, and then removes and extends the shadow and noise of the extracted moving object using morphology. The moving object thus obtained is recognized by using the labeling method, and the labeling is merged using the morphology to identify the problem that the recognized moving object is divided into several labels. Then, when the recognized moving object is detected in the designated ROI, the HSV and RGB values of the moving object are extracted and the extracted data is sequentially stored in the DTW data base. Next, we propose a method of classifying the moving object as similar to the DTW by judging the similarity between the stored DTW DB and the moving object. The moving objects classified by the proposed method are continuously compared and tracked. If it is judged that the moving objects to be tracked are overlapped, it is possible to compare the remaining objects. It also suggests how tracking can be done if the moving object is unwrapped. Finally, the applicability of the proposed method is verified through various experiments. |