RFID multi-target tracking using the probability hypothesis density algorithm for a health care application

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering

Volumn 82 LNICST, Issue , 2012, Pages 95-105

  Chen, Jiandan ^a   Olayanju, Iyeyinka Damilola ^a   Ojelabi, Olabode Paul ^a   Kulesza, Wlodek ^a  

^a BLEKINGE INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Human Tracking; Probability Hypothesis Density; Radio Frequency Identification

Indexed keywords

AMBIENT ASSISTED LIVING; GAUSSIAN MIXTURE PROBABILITY HYPOTHESIS DENSITY; HEALTH CARE APPLICATION; HUMAN ACTIVITIES; HUMAN TRACKING; LEVENBERG-MARQUARDT ALGORITHM; MULTI-SENSOR SYSTEMS; MULTI-TARGET TRACKING; PERFORMANCE COMPARISON; PHYSICAL EXPERIMENTS; PROBABILITY HYPOTHESIS DENSITY; REAL ENVIRONMENTS; TARGET POSITION;

DATA PROCESSING; HEALTH CARE; PROBABILITY; RADIO FREQUENCY IDENTIFICATION (RFID); TARGET TRACKING;

ALGORITHMS;

EID: 84869598643     PISSN: 18678211     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-32304-1_9     Document Type: Conference Paper

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