Using density and spatial cues for clustering image pixels in real time
Vladimir Kravtchenko, James J. Little · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
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.