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A Semitransparency-Based Optical-Flow Method With a Point Trajectory Model for Particle-Like Video.
- Source :
-
IEEE Transactions on Image Processing . Feb2012, Vol. 21 Issue 2, p441-450. 10p. - Publication Year :
- 2012
-
Abstract
- This paper proposes a new semitransparency-based optical-flow model with a point trajectory (PT) model for particle-like video. Previous optical-flow models have used ranging from image brightness constancy to image brightness change models as constraints. However, two important issues remain unsolved. The first is how to track/match a semitransparent object with a very large displacement between frames. Such moving objects with different shapes and sizes in an outdoor scene move against a complicated background. Second, due to semitransparency, the image intensity between frames can also violate a previous image brightness-based optical-flow model. Thus, we propose a two-step optimization for the optical-flow estimation model for a moving semitransparent object, i.e., particle. In the first step, a rough optical flow between particles is estimated by a new alpha constancy constraint that is based on an image generation model of semitransparency. In the second step, the optical flow of a particle with a continuous trajectory in a definite temporal interval based on a PT model can be refined. Many experiments using various falling-snow and foggy scenes with multiple moving vehicles show the significant improvement of the optical flow compared with a previous optical-flow model. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 10577149
- Volume :
- 21
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Image Processing
- Publication Type :
- Academic Journal
- Accession number :
- 71539561
- Full Text :
- https://doi.org/10.1109/TIP.2011.2165220