Motion-based Object Segmentation using Sprites and Anisotropic Diffusion

Authors:
Andreas Krutz;Matthias Kunter;Thomas Sikora;Mrinal Mandal;Michael Frater
Affiliations:
TU Berlin, Berlin, Germany;TU Berlin, Berlin, Germany;TU Berlin, Berlin, Germany;University of Alberta;Univ. of New South Wales
Venue:
WIAMIS '07 Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services
Year:
2007

Citing 0
Cited 2

Automatic MPEG-4 sprite coding--Comparison of integrated object segmentation algorithms

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Motion-based object segmentation using hysteresis and bidirectional inter-frame change detection in sequences with moving camera

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Abstract

Many algorithms have been developed to recognize regions, edges, color, and objects in images and videos. For applications like surveillance or object-based video coding, it is important to segment the foreground objects from the background. The task is very challenging in the case of a moving camera. We present a foreground segmentation approach that is designed for sprite coding as well as other applications, e.g. video surveillance. Accurate frame-toframe image registration and sprite generation build the pre-processing step. The segmentation algorithm operates on error images, which are produced by the image registration and subtraction from reconstructed background frames. It is processed in several steps including low-pass filtering using anisotropic diffusion. Experiments show excellent results with single- and multi-view test sequences.