Intelligent video surveillance for real-time detection of suicide attempts
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Bo Li | Wassim Bouachir | Rita Noumeir | Rafik Gouiaa | R. Noumeir | W. Bouachir | Rafik Gouiaa | Bo Li
[1] PREVENTING SUICIDE IN JAILS AND PRISONS , 2019 .
[2] Ioannis A. Kakadiaris,et al. 3D Human pose estimation: A review of the literature and analysis of covariates , 2016, Comput. Vis. Image Underst..
[3] Wassim Bouachir,et al. Automated video surveillance for preventing suicide attempts , 2016, ICDP.
[4] Jean Meunier,et al. Human posture recognition by combining silhouette and infrared cast shadows , 2015, 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA).
[5] Stefan Wermter,et al. Self-organizing neural integration of pose-motion features for human action recognition , 2015, Front. Neurorobot..
[6] Xiaodong Yang,et al. Action Recognition Using Super Sparse Coding Vector with Spatio-temporal Awareness , 2014, ECCV.
[7] Hyun Myung,et al. Detection of a Suicide by Hanging Based on a 3-D Image Analysis , 2014, IEEE Sensors Journal.
[8] Scott Ginder,et al. Mortality in Local Jails and State Prisons, 2000-2013 - Statistical Tables , 2013 .
[9] Stefan Wermter,et al. Hierarchical SOM-based detection of novel behavior for 3D human tracking , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[10] L. Hayes,et al. Suicide prevention in correctional facilities: reflections and next steps. , 2013, International journal of law and psychiatry.
[11] Christian Bauckhage,et al. Action recognition by learning discriminative key poses , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[12] Andrew W. Fitzgibbon,et al. Real-time human pose recognition in parts from single depth images , 2011, CVPR 2011.
[13] Rémi Ronfard,et al. A survey of vision-based methods for action representation, segmentation and recognition , 2011, Comput. Vis. Image Underst..
[14] Greg Mori,et al. Action recognition by learning mid-level motion features , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[16] Fuhui Long,et al. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[18] G. Johansson. Visual perception of biological motion and a model for its analysis , 1973 .