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Real-Time Salient Closed Boundary Tracking using Perceptual Grouping and Shape Priors
2017
Procedings of the British Machine Vision Conference 2017
unpublished
In this paper, we propose a real-time method for accurate salient closed boundary tracking via a combination of shape constraints and perceptual grouping on edge fragments. Particularly, we encode the Gestalt law of proximity and the prior shape constraint in a novel ratio-form grouping cost. The proximity and prior constraint are depicted by the relative gap length and average distance difference along the to-be-tracked boundary with respect to its area. We build a graph using the detected
doi:10.5244/c.31.12
fatcat:tw4ccnfsbrbyfgnay2fyk3wvgy