Saliency generation from complex scene via digraph and Bayesian inference

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Summary

This paper proposes a novel saliency detection method based on a directed graph model and multi-scale Bayesian inference that can overcome the shortcomings of traditional CFAR detector and has much fewer false alarms in cluttered background.

Type
article
Published
2015-12-25
Cited by
3
References
40

Keywords

Computer science, Artificial intelligence, Inference, Graph, Benchmark (surveying)

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