Key Object Discovery and Tracking Based on Context-Aware Saliency

In this paper, we propose an online key object discovery and tracking system based on visual saliency. We formulate the problem as a temporally consistent binary labelling task on a conditional random field and solve it by using a particle filter. We also propose a context-aware saliency measurement...

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Bibliographic Details
Main Authors: Geng Zhang, Zejian Yuan, Nanning Zheng
Format: Article
Language:English
Published: SAGE Publishing 2013-01-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/51832