Using density and spatial cues for clustering image pixels in real time

Vladimir Kravtchenko; James J. Little

doi:10.1117/12.383011

19 April 2000 Using density and spatial cues for clustering image pixels in real time

Vladimir Kravtchenko, James J. Little

Proceedings Volume 3974, Image and Video Communications and Processing 2000; (2000) https://doi.org/10.1117/12.383011
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

The goal of our work is efficient clustering of object pixels from a sequence of live images for use in real-time applications including object recognition and tracking. We propose a novel approach to clustering object pixels into separate objects using density and spatial cues. The suggested method runs in linear time, accounts for image noise and yields real-time performance.

Citation Download Citation

Vladimir Kravtchenko and James J. Little "Using density and spatial cues for clustering image pixels in real time", Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); https://doi.org/10.1117/12.383011

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