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A biologically inspired system for human posture recognition
2009
2009 IEEE Biomedical Circuits and Systems Conference
We present a biologically-motivated system to recognize human postures in realtime video sequences. The system employs event-based temporal difference image between video sequences as input and builds a network of bio-inspired Gaborlike filters to detect contours of the active object. The detected contours are organized into vectorial line segments. After feature extraction, a classifier based on simplified line segment Hausdorff distance combined with projection histograms is implemented to
doi:10.1109/biocas.2009.5372070
fatcat:hddiu3sg3bgbdlajngw4vqlouu