Loading...
Please wait, while we are loading the content...
Similar Documents
Sawarkar Moving Object Detection and Tracking in a Moving Camera using a Distinct Object Tracker
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ramirez, Andrés A. Sun, Deqing Sudderth, Erik B. Ulges, Adrian Lampert, Christoph H. Keysers, Daniel |
| Copyright Year | 2016 |
| Abstract | Object tracking is one of the most important components in a wide range of applications in computer vision, such as surveillance, human computer interaction, and medical imaging. In the proposed work we applied a object tracking algorithm to segmented object obtained from global motion estimation and compensation. 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 color 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.conferenceinfo.org/admin/resources/project/paper/f201610271477544416.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
