 |
My ICIP 2006 Schedule
Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
Paper Detail
| Paper: | TP-P1.7 |
| Session: | Video Object Segmentation and Tracking |
| Time: | Tuesday, October 10, 14:20 - 17:00 |
| Presentation: |
Poster |
| Topic: |
Image & Video Segmentation: Video object segmentation and tracking |
| Title: |
AN EFFICIENT REAL-TIME VIDEO OBJECT SEGMENTATION ALGORITHM BASED ON CHANGE DETECTION AND BACKGROUND UPDATING |
| Authors: |
Thou-Ho (Chao-Ho) Chen; National Kaohsiung University of Applied Sciennces | | | | | Tsong-Yi Chen; National Kaohsiung University of Applied Sciennces | | | | | Yung-Chuen Chiou; National Kaohsiung University of Applied Sciennces | | |
| Abstract: |
This paper proposes an efficient video object segmentation algorithm based on change detection and background updating that can quickly extract the moving object from video sequence. Firstly, the change detection is used to analyze temporal information between successive frames to obtain the change region. Then, the combination of frame difference mask and background subtraction mask is adopted to acquire the initial object mask and further solve the uncovered background problem and still object problem. Moreover, the boundary refinement is introduced to overcome the shadow influence and residual background problem. Finally, objective evaluations of the proposed algorithm demonstrate that the spatial accuracy can be maintained above 95% for most normal cases. |
|
