16 March 2000 Parameters matching of objects in video sequences
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Proceedings Volume 3958, Three-Dimensional Image Capture and Applications III; (2000); doi: 10.1117/12.380033
Event: Electronic Imaging, 2000, San Jose, CA, United States
Abstract
Retrieving spatial characteristics of subjects form video sequences is a critical issue for many applications. Actually in many cases video streams are the only kind of data it is possible to get on amoving object. In this paper, we present a method for spatial information extraction of amoving subject using multiple video sequences. This method is based on a prediction/correction approach. Spatial characteristics values are converted into synthetic images, and a similarity measure between images is used to estimate their validity. An optimization algorithm is used to adjust the characteristics values, until the best adequation between real and synthetics images is reached. Both the image comparison and the optimization algorithm are designed to handle some problems of this domain: occlusion robustness and noise in images. A set of experiments illustrates the efficiency and the robustness of the approach. Both artificial and real video sequences are used, illustrating various situations.
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Yannick Perret, Theirry Excoffier, Saida Bouakaz, "Parameters matching of objects in video sequences", Proc. SPIE 3958, Three-Dimensional Image Capture and Applications III, (16 March 2000); doi: 10.1117/12.380033; https://doi.org/10.1117/12.380033
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KEYWORDS
Video

Cameras

Optimization (mathematics)

Feature extraction

3D modeling

Chemical elements

Calibration

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