Improved mean shift for multi-target tracking

@article{Phadke2013ImprovedMS,
  title={Improved mean shift for multi-target tracking},
  author={G. Phadke and R. Velmurugan},
  journal={2013 IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS)},
  year={2013},
  pages={37-44}
}
  • G. Phadke, R. Velmurugan
  • Published 2013
  • Geography
  • 2013 IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS)
Object tracking is critical to visual surveillance and activity analysis. The color based mean shift has been addressed as an effective and fast algorithm for tracking. But it fails in case of objects with low color intensity, clutter in background and total occlusion for several frames. We present a new scheme based on multiple feature integration for visual tracking. The proposed method integrates the color, texture and edge features of the target to construct the target model and a… Expand

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