A size and position invariant event-based human posture recognition algorithm
In this paper we report a size and position invariant human posture recognition algorithm. The algorithm employs a simplified line segment Hausdorff distance classification and uses projection histograms to achieve size and position invariance....
Saved in:
Main Authors: | Chen, Shoushun, Folowosele, Fopefolu, Kim, Dongsoo, Vogelstein, R. Jacob, Etienne-Cummings, Ralph, Culurciello, Eugenio |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2010
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/91593 http://hdl.handle.net/10220/6372 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A bio-inspired event-based size and position invariant human posture recognition algorithm
by: Chen, Shoushun, et al.
Published: (2010) -
A biologically inspired system for human posture recognition
by: Chen, Shoushun, et al.
Published: (2010) -
Efficient feedforward categorization of objects and human postures with address-event image sensors
by: Chen, Shoushun, et al.
Published: (2013) -
Invariant pattern recognition with higher-order neural networks
by: He, Zhengquan.
Published: (2008) -
Live demonstration : a FSK-OOK ultra wideband impulse radio system with spontaneous clock and data recovery
by: Chen, Shoushun, et al.
Published: (2013)