Objectness-based smoothing stochastic sampling and coherence approximate nearest neighbor for visual tracking

@article{Mbelwa2018ObjectnessbasedSS,
  title={Objectness-based smoothing stochastic sampling and coherence approximate nearest neighbor for visual tracking},
  author={Jimmy T. Mbelwa and Qingjie Zhao and Yao Lu and Hao Liu and Fasheng Wang and Mercy Mbise},
  journal={The Visual Computer},
  year={2018},
  volume={35},
  pages={371-384}
}
In visual tracking, most of the tracking methods suffer from abrupt motions. To address this problem, we propose a novel method for tracking abrupt motions using objectness embedded in smoothing stochastic sampling and improved Tree coherency approximate nearest neighbor. An improved coherence approximate nearest neighbor is utilized to estimate the promising regions as prior knowledge. Moreover, objectness is employed as an objectness proposal function for handling dynamic motions. Finally… CONTINUE READING

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