@Article{Sochman-PRL2013,
  IS = { zkontrolovano 23 Jun 2013 },
  UPDATE  = { 2013-06-21 },
  author =     {Ferryman, James and Hogg, David and Sochman, Jan and 
    Behera, Ardhendu and Rodriguez-Serrano, Jose A. and Worgan, Simon and 
    Li, Longzhen and Leung, Valerie and Evans, Murray and Cornic, Philippe and 
    Herbin, Stephane and Schlenger, Stefan and Dose, Michael},
  title =      {Robust abandoned object detection integrating wide area 
                visual surveillance and social context},
  year =       {2013},
  month =      {May},
  pages =      {789-798},
  journal =    {Pattern Recognition Letters},
  publisher =  {Elsevier},
  address =    {Amsterdam, NL},
  issn =       {0167-8655},
  volume =     {34},
  number =     {7},
  authorship = {10-10-10-10-6-10-10-6-6-6-6-5-5},
  annote =     {This paper presents a video surveillance framework
    that robustly and efficiently detects abandoned objects in
    surveillance scenes. The framework is based on a novel threat
    assessment algorithm which combines the concept of ownership with
    automatic understanding of social relations in order to infer
    abandonment of objects. Implementation is achieved through
    development of a logic-based inference engine based on
    Prolog. Threat detection performance is conducted by testing
    against a range of datasets describing realistic situations and
    demonstrates a reduction in the number of false alarms
    generated. The proposed system represents the approach employed in
    the EU SUBITO project (Surveillance of Unattended Baggage and the
    Identification and Tracking of the Owner},
  keywords =   {wide area video surveillance, behaviour analysis, 
                abandoned objects},
  project =    {SUBITO, FP7-ICT-247022 MASH},
  doi =        {10.1016/j.patrec.2013.01.018},
  ut_isi =     {000317554500010},
  psurl = {[PDF] },
}