SurvSurf: human retrieval on large surveillance video data

@article{Ding2016SurvSurfHR,
  title={SurvSurf: human retrieval on large surveillance video data},
  author={Sihao Ding and Gang Li and Ying Li and Xinfeng Li and Qiang Zhai and Adam C. Champion and Junda Zhu and Dong Xuan and Yuan F. Zheng},
  journal={Multimedia Tools and Applications},
  year={2016},
  volume={76},
  pages={6521-6549}
}
The volume of surveillance videos is increasing rapidly, where humans are the major objects of interest. Rapid human retrieval in surveillance videos is therefore desirable and applicable to a broad spectrum of applications. Existing big data processing tools that mainly target textual data cannot be applied directly for timely processing of large video data due to three main challenges: videos are more data-intensive than textual data; visual operations have higher computational complexity… CONTINUE READING