34th Applied Imagery and Pattern Recognition Workshop (AIPR'05)
Content-Based 3D Mosaic Representation for Video of Dynamic 3D Scenes
Washington, DC
October 19-October 21
ISBN: 0-7695-2479-6
We propose a content-based three-dimensional (3D) mosaic representation for long video sequences of 3D and dynamic scenes captured by a camera on a mobile platform. The motion of the camera has a dominant direction of motion (as on an airplane or ground vehicle), but 6 degrees-of-freedom (DOF) motion is allowed. In the first step, a pair of generalized parallelperspective (pushbroom) stereo mosaics is generated that captured both the 3D and dynamic aspects of the scene under the camera coverage. In the second step, a segmentation-based stereo matching algorithm is applied to extract parametric representation of the color, structure and motion of the dynamic and/or 3D objects in urban scenes where a lot of planar surfaces exist. Based on these results, the content-based 3D mosaic (CB3M) representation is created, which is a highly compressed visual representation for very long video sequences of dynamic 3D scenes. Experimental results will be given.
Index Terms:
Image fusion, multi-image registration, video surveillance, content-based video coding
Citation:
Zhigang Zhu, Hao Tang, George Wolberg, Jeffery R. Layne, "Content-Based 3D Mosaic Representation for Video of Dynamic 3D Scenes," aipr, pp.198-203, 34th Applied Imagery and Pattern Recognition Workshop (AIPR'05), 2005