RGB-Depth Image Based Human Detection Using Viola-Jones and Chan-Vese Active Contour Segmentation

Puji Lestari, Hans-Peter Schade. RGB-Depth Image Based Human Detection Using Viola-Jones and Chan-Vese Active Contour Segmentation. In Sabu M. Thampi, Sri Krishnan, Juan Manuel Corchado Rodríguez, Swagatam Das, Michal Wozniak, Dhiya Al-Jumeily, editors, Advances in Signal Processing and Intelligent Recognition Systems - Proceedings of Third International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2017), September 13-16, 2017, Manipal, India. Volume 678 of Advances in Intelligent Systems and Computing, pages 285-296, Springer, 2017. [doi]

@inproceedings{LestariS17,
  title = {RGB-Depth Image Based Human Detection Using Viola-Jones and Chan-Vese Active Contour Segmentation},
  author = {Puji Lestari and Hans-Peter Schade},
  year = {2017},
  doi = {10.1007/978-3-319-67934-1_25},
  url = {https://doi.org/10.1007/978-3-319-67934-1_25},
  researchr = {https://researchr.org/publication/LestariS17},
  cites = {0},
  citedby = {0},
  pages = {285-296},
  booktitle = {Advances in Signal Processing and Intelligent Recognition Systems - Proceedings of Third International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2017), September 13-16, 2017, Manipal, India},
  editor = {Sabu M. Thampi and Sri Krishnan and Juan Manuel Corchado Rodríguez and Swagatam Das and Michal Wozniak and Dhiya Al-Jumeily},
  volume = {678},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-319-67934-1},
}