Motion estimation and segmentation in depth and intensity videos
| Autor: | Margrit Gelautz, Norbert Pfeifer, Nicole Brosch, Sajid Ghuffar |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Time-of-flight camera
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Optical flow Scale-space segmentation Computer Science Applications Theoretical Computer Science Quarter-pixel motion Computational Theory and Mathematics Match moving Motion field Artificial Intelligence Motion estimation Segmentation Computer vision Artificial intelligence business Software |
| Zdroj: | Integrated Computer-Aided Engineering. 21:203-218 |
| ISSN: | 1875-8835 1069-2509 |
| DOI: | 10.3233/ica-130456 |
| Popis: | This paper investigates motion estimation and segmentation of independently moving objects in video sequences that contain depth and intensity information, such as videos captured by a Time of Flight camera. Specifically, we present a motion estimation algorithm which is based on integration of depth and intensity data. The resulting motion information is used to derive long-term point trajectories. A segmentation technique groups the trajectories according to their motion and depth similarity into spatio-temporal segments. Quantitative and qualitative analysis of synthetic and real world videos verify the proposed motion estimation and segmentation approach. The proposed framework extracts independently moving objects from videos recorded by a Time of Flight camera. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|