Reconstruction of 3D rigid body motion in a virtual environment from a 2D image sequence

This research presents a procedure for interactive segmentation and automatic tracking of moving objects in a video sequence. The user outlines the region of interest (ROI) in the initial frame; the procedure builds a refined mask of the dominant object within the ROI. The refined mask is used to model a spline template of the object to be tracked. The tracking algorithm then employs a motion model to track the template through a sequence of frames and gathers the 3D affine motion parameters of the object from each frame. The extracted template is compared with a previously stored library of 3D shapes to determine the closest 3D object. If the extracted template is completely new, it is used to model a new 3D object which is added to the library. To recreate the motion, the motion parameters are applied to the 3D object in a virtual environment. The procedure described here can be applied to industrial problems such as traffic management and material flow congestion analysis

Matching Error Based Criterion Of Region Merging For Joint Motion Estimation And Segmentation Techniques

This paper describes a region merging method for joint motion estimation and segmentation of digital video sequences. The region merging criterion is based on the measure of the matching error for a region when applying a previously estimated motion to it. A region adjacency graph is used for data representation, which allows a scan independent processing and gives a high-level view. The method is simple-shape object-oriented and starts from a block-based segmentation. The aim of the proposed technique is to define simple shaped objects in a scene using motion information and a simple test. 1. INTRODUCTION In the framework of video coding or video manipulation, segmentation and motion estimation are two strongly related key points. A precise segmentation is needed to perform accurate motion estimation and an accurate motion estimation is needed to perform precise segmentation. This is due to the properties of the human visual system (HVS) which not only takes into account spatial prop..

Novel block-based motion estimation and segmentation for video coding

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