Mosaics of Scenes with Moving Objects
نویسنده
چکیده
Image mosaics are useful for a variety of tasks in vision and computer graphics. A particularly convenient way to generate mosaics is by ‘stitching’ together many ordinary photographs. Existing algorithms focus on capturing static scenes. This paper presents a complete system for creating visually pleasing mosaics in the presence of moving objects. There are three primary contributions. The first component of our system is a registration method that remains unbiased by movement— the Mellin transform is extended to register images related by a projective transform. Second, an efficient method for finding a globally consistent registration of all images is developed. By solving a linear system of equations, derived from many pairwise registration matrices, we find an optimal global registration. Lastly, a new method of compositing images is presented. Blurred areas due to moving objects are avoided by segmenting the mosaic into disjoint regions and sampling pixels in each region from a single source image.
منابع مشابه
Statistical Background Modeling Based on Velocity and Orientation of Moving Objects
Background modeling is an important step in moving object detection and tracking. In this paper, we propose a new statistical approach in which, a sequence of frames are selected according to velocity and direction of some moving objects and then an initial background is modeled, based on the detection of gray pixel's value changes. To have used this sequence of frames, no estimator or distribu...
متن کاملDetection and Tracking of Moving Objects for Mosaic Image Generation
Mosaic images provide an eecient representation of image sequences and simplify scene exploration and analysis. However, the application of conventional methods to generate mosaics of scenes with moving objects causes integration errors and a loss of dynamic information. In this paper a method to compute mosaics of dynamic scenes is presented addressing the above mentioned problems. Moving pixe...
متن کاملMoving Objects Tracking Using Statistical Models
Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...
متن کاملContent-Based 3D Mosaics for Large-Scale Dynamic Urban Scenes
We propose a content-based 3D mosaic (CB3M) representation for long video sequences of 3D and dynamic urban scenes captured by a camera on a mobile platform. In the first phase, a set of parallel-perspective (pushbroom) mosaics with varying viewing directions is generated to capture both the 3D and dynamic aspects of the scene under the camera coverage. In the second phase, a segmentation-based...
متن کاملTR-2008013: Content-Based 3D Mosaics for Large-Scale Dynamic Urban Scenes
We propose a content-based 3D mosaic (CB3M) representation for long video sequences of 3D and dynamic urban scenes captured by a camera on a mobile platform. In the first phase, a set of parallel-perspective (pushbroom) mosaics with varying viewing directions is generated to capture both the 3D and dynamic aspects of the scene under the camera coverage. In the second phase, a segmentation-based...
متن کامل