View-independent human motion classification using image-based reconstruction

Image and Vision Computing

Volumn 27, Issue 8, 2009, Pages 1194-1206

  Bodor, R ^a   Drenner, A ^a   Fehr, D ^a   Masoud, O ^a   Papanikolopoulos, N ^a  

^a University of Minnesota   (United States)

Author keywords

Computer vision; Human motion recognition; Image based rendering; Shape reconstruction; Visual tracking

Indexed keywords

BEHAVIORAL RESEARCH; COMPUTER VISION; EDUCATION; GAIT ANALYSIS; IMAGE RECONSTRUCTION; MOTION ESTIMATION; RESTORATION; VIDEO AMPLIFIERS; VIDEO RECORDING;

AREA OF INTEREST; CLASSIFICATION ACCURACY; CLASSIFICATION SYSTEM; DIRECTION OF MOTION; GAIT RECOGNITION; HUMAN BEHAVIORS; HUMAN MOTION RECOGNITION; HUMAN MOTIONS; IMAGE-BASED; IMAGE-BASED RENDERING; LEARNING METHODS; MOTION PATH; NOVEL METHODS; REAL-WORLD; REAL-WORLD APPLICATION; SHAPE RECONSTRUCTION; SINGLE CAMERAS; VIDEO DATA; VIEW-DEPENDENT; VISUAL TRACKING;

CAMERAS;

EID: 67349282269     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2008.11.008     Document Type: Article

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