title: Video surveillance of medication intake.
abstract: In the context of the growing proportion of seniors in the western world population and the efforts provided in home care services, we have developed a computer vision system for monitoring medication intake. The system detects automatically medication intake using a single low-cost webcam. Person detection and tracking over the video sequence is done using color-based techniques while the recognition of the medication intake activity is performed using our main contribution, a three-level scenario model. Experimental results in controlled conditions are shown and we discuss improvements to our system.
authors.affiliation: Dept. of Comput. Sci. & Oper. Res., Univ. de Montréal, Canada. valinmyr@iro.umontreal.ca
authors.forename: Myriam
authors.initials: M
authors.lastname: Valin
authors.forename: Jean
authors.initials: J
authors.lastname: Meunier
authors.forename: Alain
authors.initials: A
authors.lastname: St-Arnaud
authors.forename: Jacqueline
authors.initials: J
authors.lastname: Rousseau
mesh_terms: D000368:Aged; D000465:Algorithms; D004358:Drug Therapy; D006699:Home Care Services; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D007091:Image Processing, Computer-Assisted; D016013:Likelihood Functions; D015233:Models, Statistical; D010349:Patient Compliance; D010363:Pattern Recognition, Automated; D004364:Pharmaceutical Preparations; D019338:Polypharmacy; D015203:Reproducibility of Results; D012307:Risk Factors; D017216:Telemedicine / Q000295:instrumentation* / Q000379:methods; D014741:Video Recording
chemical_list: D004364:Pharmaceutical Preparations