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Automatic Segmentation and Tracking of Moving Objects using Object Tracker
| Content Provider | Semantic Scholar |
|---|---|
| Author | Morvekar, Shalaka D. |
| Copyright Year | 2016 |
| Abstract | .Video segmentation is a way of dividing a video into meaningful segments.In the segmentation of videos the main challenges occurs in the crowded areas and when the video is captured using moving camera. A fast and robust video segmentation technique, which aims at efficient foreground and background separation via effective combination of motion and colour segmentation modules .Frame differencing and colour based segmentation methods were used for the identification of the objects in the videos. In the frame differencing process the current video frames were subtracted from the reference frames in order to obtain the objects in the video. The obtained objects were then segmented with the help of colour based segmentation methods . The performance of the process is measured with the help of performance metrics like Accuracy, Error rate, Precision and Recall. The proposed work will automatically segment, identify moving object and track the object in all the frames and also solve different problems in change detection like uncovered background, temporary poses,global motion of background. Indexterms:Global Motion Estimation,Affine transformation,video object Segmentation, object tracking. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.conferenceinfo.org/admin/resources/project/paper/f201610091475985840.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
