Wheelchair detection using cascaded decision tree

IEEE Transactions on Information Technology in Biomedicine

Volumn 14, Issue 2, 2010, Pages 292-300

  Huang, Chun Rong ^a,b   Chung, Pau Choo ^a   Lin, Kuo Wei ^a   Tseng, Sheng Chieh ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

Author keywords

Healthcare system; Wheelchair detection

Indexed keywords

CASCADE CLASSIFIERS; CLUTTERED SCENES; DETECTION ACCURACY; DETECTION RATES; DETECTION TIME; HEALTHCARE SYSTEM; MOVING DIRECTION; MULTI-DIRECTIONAL; SINGLE CAMERAS; VIDEO FRAME;

ALARM SYSTEMS; DECISION TREES; HEALTH CARE; PATIENT MONITORING; WHEELCHAIRS;

DETECTORS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; DECISION TREE; HEALTH SURVEY; HUMAN; IMAGE PROCESSING; METHODOLOGY; MOTION; VIDEORECORDING; WHEELCHAIR;

ALGORITHMS; DECISION TREES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MOTION; PATTERN RECOGNITION, AUTOMATED; POPULATION SURVEILLANCE; VIDEO RECORDING; WHEELCHAIRS;

EID: 77949729422     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2009.2037618     Document Type: Article

References (24)

1. L. M. Bergasa, M. Mazo, A. Gardel, J. C. Garcia, A. Ortuno, and A. E. Mendez, "Guidance of a wheelchair for handicapped people by face tracking," in Proc. 7th IEEE Int. Conf. Emerg. Technol. Factory Autom., 1999, vol.1, pp. 105-111.
2. D. Chen, J. Yang, and H. D. Wactlar, "Towards automatic analysis of social interaction patterns in a nursing home environment from video," in Proc. 6th ACM SIGMM Int. Workshop Multimedia Inf. Retrieval, 2004, pp. 283-290.
3. D. Ding and R. A. Cooper, "Electric powered wheelchairs," IEEE Control Syst. Mag., vol.25, no.2, pp. 22-34, Apr. 2005.
4. H. N. Chow and Y. Xu, "Learning human navigational skill for smart wheelchair in a static cluttered route," IEEE Trans. Ind. Electron., vol.53, no.4, pp. 1350-1361, Jun. 2006.
5. C. Cauchois, F. Chaumont, B. Marhic, L. Delahoche, and M. Delafosse, "Robotic assistance: an automatic wheelchair tracking and following functionality by omnidirectional vision," in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst., 2005, pp. 2560-2565.
6. G. R. Bradski, "Computer vision face tracking for use in a perceptual user interface," Intel Technol. J., vol.2, no.2, pp. 12-21, 1998.
7. P. Beardsley, "Wheelchair detection using stereo vision," MERL Tech. Rep., 2002.
8. A. Myles, N. D. V. Lobo, and M. Shah, "Wheelchair detection in a calibrated environment," in Proc. 5th AsianConf.Comput. Vis., 2002, pp. 706- 712.
9. C.-A. Yang and P.-C. Chung, "Recovery of 3-D location and orientation of a wheelchair in a calibrated environment by using single perspective geometry," in Proc. IEEE TENCON, 2007, pp. 1-4.
10. J. Philip, "An algorithm for determining the position of a circle in 3D from its perspective 2D projection," Dept. Math., KTH, Sweden, Tech. Rep. TRITA-MAT-1997-MA-14, 1997.
11. K. Kim, T. H. Chalidabhongse, D. Harwood, and L. Davis, "Background modeling and subtraction by codebook construction," in Proc. IEEE Int. Conf. Image Process., 2004, vol.5, pp. 3061-3064.
12. Y.-T. Chen, C.-S. Chen, C.-R. Huang, and Y.-P. Hung, "Efficien thierarchical method for background subtraction," Pattern Recogn., vol.40, no.10, pp. 2706-2715, 2007.
13. P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features," in Proc. IEEE Conf. Comput. Vis. Pattern Recogn., 2001, vol.1, pp. 511-518.
14. M. Jones and P. Viola, "Fast multi-view face detection," Mitsubishi Elect. Res. Lab. (MERL), America, Tech. Rep. MERLTR2003-96, 2003.
15. R. Schapire and Y. Singer, "Improved boosting algorithms using confidence-rated predictions," Mach. Learning, vol.37, no.3, pp. 297- 336, 1999.
16. Y. Freund and R. Schapire, "Experiments with a new boosting algorithm," in Proc. 13th Int. Conf. Mach. Learning, 1996, pp. 148-156.
17. B. Wu, H. Ai, C. Huang, and S. Lao, "Fast rotation invariant multi-view face detection based on real AdaBoost," in Proc. IEEE Int. Conf. Autom. Face Gesture Recogn., 2004, pp. 79-84.
18. C. Huang, H. Ai, Y. Li, and S. Lao, "High-performance rotation invariant multiview face detection," IEEE Trans. Pattern Anal. Mach. Intell., vol.29, no.4, pp. 671-686, Apr. 2007.
19. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Proc. IEEE Conf. Comput. Vis. Pattern Recogn., 2005, vol.1, pp. 886-893.
20. C.-R. Huang, C.-S. Chen, and P.-C. Chung, "Contrast context histogram- an efficient discriminating local descriptor for object recognition and image matching," Pattern Recogn., vol.41, no.10, pp. 3071-3077, 2008.
21. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol.60, no.2, pp. 91-110, 2004.
22. P. Viola, M. J. Jones, and D. Snow, "Detecting pedestrians using patterns of motion and appearance," in Proc. Int. Conf. Comput. Vis., 2003, vol.1, pp. 734-741.
23. C. Cortes and V. Vapnik, "Support-vector network," Mach. Learning, vol.20, pp. 273-297, 1995.
24. T. Lindeberg, "Scale-space theory: A basic tool for analyzing structures at different scales," J. Appl. Stat., vol.21, no.2, pp. 224-270, 1994.