A biologically inspired system for human posture recognition

2009 IEEE Biomedical Circuits and Systems Conference, BioCAS 2009

Volumn , Issue , 2009, Pages 113-116

  Chen, Shoushun ^a   Akselrod, Polina ^b   Culurciello, Eugenio ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b YALE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE OBJECT; BIO-INSPIRED; BIOLOGICALLY INSPIRED SYSTEMS; CATEGORIZATION METHODS; COMPUTATIONAL SAVINGS; EVENT-BASED; HARDWARE IMPLEMENTATIONS; HUMAN POSTURE RECOGNITION; HUMAN POSTURES; INVARIANT RECOGNITION; LINE SEGMENT; LINE SEGMENT HAUSDORFF DISTANCES; PROJECTION HISTOGRAMS; REAL TIME VIDEOS; RECOGNITION RATES; SIZE AND POSITION; STATE OF THE ART; TEMPORAL DIFFERENCES; VIDEO SEQUENCES;

GRAPHIC METHODS; HARDWARE; VIDEO RECORDING;

FEATURE EXTRACTION;

EID: 77749315791     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIOCAS.2009.5372070     Document Type: Conference Paper

References (12)

1. K. Takahashi, T. Sakaguchi, and J. Ohya, "Remarks on real-time human posture estimation from silhouette image using neural network," in IEEE International Conference on Systems Man and Cybernetics, Oct. 2004, pp. 370-375.
2. E. H-Jaraha, C. 0-Urunuela, and J. Senar, "Detected motion classification with a doublebackground and a neighborhood-based difference," Pattern Recognition Letters, vol. 24, pp. 2079-2092, 2003.
3. L. H. W. Aloysius, G. Dong, H. Zhiyong, and T. Tan, "Human posture recognition in video sequence using pseudo 2-d hidden markov models," in 8th Control, Automation, Robotics and Vision Conference, Dec. 2004, pp. 712-716.
4. P. Spagnolo, M. Leo, A. Leone, G. Attolico, and A. Distante, "Posture estimation in visual surveillance of archaeological sites," in IEEE Conference on Advanced Video and Signal Based Surveillance, July 2003, pp. 277-283.
5. J. Triesch and C. von der Malsburg, "A system for person-independent hand posture recognition against complex backgrounds," in IEEE TPAMI, vol. 23, Dec. 2001, pp. 1449-1453.
6. Z. Fu and E. Culurciello, "Fall detection using an address-event temporal contrast vision sensor," in ISCAS, May 2008.
7. P. Lichtsteiner and T. Delbruck, "A 128x128 120db 15μ s latency asynchronous temporal contrast vision sensor," IEEE JSSC, pp. 566-576, Feb. 2008.
8. E. Culurciello, R. Etienne-Cummings, and K. Boahen, "Arbitrated address event representation digital image sensor," in ISSCC. 2001. IEEE, 2001, pp. 92-93.
9. T. Serre, "Learning a dictionary of shape-components in visual cortex: Comparison with neurons, humans and machines," Ph.D. dissertation, MIT, Apr. 2006.
10. S. Chen, B. Martini, and E. Culurciello, "A bio-inspired event-based size and position invariant human posture recognition algorithm," ISCAS, vol. 0, no. 0, May 2009.
11. R. Vogelstein, U. Mallik, E. Culurciello, R. Etienne-Cummings, and G. Cauwenberghs, "Saliency-driven image acuity modulation on a reconfigurable silicon array of spiking neurons," in Adv. Neural Information Processing Systems NIPS '04, vol. 17. MIT Press, December 2004.
12. R. Serrano-Gotarredona, T. Serrano-Gotarredona, A. Acosta-Jimenez, and B. Linares-Barranco, "A neuromorphic cortical-layer microchip for spike-based event processing vision systems," IEEE TCAS-I, vol. 53, pp. 2548-2566, Dec. 2006.