| Paper: | TA-P1.8 |
| Session: | Video Surveillance I / Document Image Processing & Analysis |
| Time: | Tuesday, September 18, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
A COMPARISON OF DIFFERENT APPROACHES TO NONLINEAR SHIFT ESTIMATION FOR OBJECT TRACKING |
| Authors: |
Majid Asadi; University of Genoa | | |
| | Carlo S. Regazzoni; University of Genoa | | |
| Abstract: |
This paper presents a corner based voting method for estimating the object shift in video image frames. Information about the corners distribution around a reference point is used to represent the object shape and then to find the most probable target position in the next frame. Tracking is done through using a voting space obtained by matching corners information. A motion vector for the reference point is nonlinearly estimated with three different strategies by using the global information of the matched corners. The results show a comparison between three considered strategies for estimating the object shift. |
