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Volumn , Issue , 2009, Pages 293-297

SVM-based obstacle classification in visible and infrared images

Author keywords

[No Author keywords available]

Indexed keywords

BI-OBJECTIVE OPTIMIZATION; CLASSIFICATION TIME; COMPARATIVE STUDIES; ENVIRONMENTAL CONDITIONS; ERROR CLASSIFICATION; INFRARED IMAGES; OBSTACLE CLASSIFICATION; OBSTACLE RECOGNITION; VISIBLE-AND-INFRARED SPECTRUMS;

EID: 84863744400     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (16)
  • 1
    • 4544255203 scopus 로고    scopus 로고
    • Stereo visionbased feature extraction for vehicle detection
    • A. Bensrhair et al., "Stereo visionbased feature extraction for vehicle detection", IEEE Intelligent Vehicles Symp., vol.2, pp 465-470, 2002.
    • (2002) IEEE Intelligent Vehicles Symp. , vol.2 , pp. 465-470
    • Bensrhair, A.1
  • 3
    • 4544319826 scopus 로고    scopus 로고
    • 3D vision sensing for improved pedestrian safety
    • Parma, Italy
    • G. Grubb et al., "3D Vision Sensing for Improved Pedestrian Safety", IEEE Intelligent Vehicle Symposium, pp. 19-24, Parma, Italy, 2004.
    • (2004) IEEE Intelligent Vehicle Symposium , pp. 19-24
    • Grubb, G.1
  • 5
    • 33745935417 scopus 로고    scopus 로고
    • Pedestrian detection using stereo-vision and graph kernels
    • June
    • F. Suard et al., "Pedestrian Detection using Stereo-vision and Graph Kernels", IEEE Intelligent Vehicles Symp., pp. 267-272, June 2005.
    • (2005) IEEE Intelligent Vehicles Symp. , pp. 267-272
    • Suard, F.1
  • 6
    • 0034822529 scopus 로고    scopus 로고
    • A multi-sensor approach for the protection of vulnerable traffic participants - The PROTECTOR project
    • D. M. Gavrila et al., "A multi-sensor approach for the protection of vulnerable traffic participants - the PROTECTOR project", IEEE Instrumentation and Measurement Technology Conference, vol. 3, pp. 2044-2048, 2001.
    • (2001) IEEE Instrumentation and Measurement Technology Conference , vol.3 , pp. 2044-2048
    • Gavrila, D.M.1
  • 7
    • 33745625892 scopus 로고    scopus 로고
    • Monocular precrash vehicle detection: Features and classifiers
    • July
    • Z. Sun et al., "Monocular precrash vehicle detection: features and classifiers", IEEE Transactions on Image Processing, vol. 15, no.7, pp 2019-2034, July 2006.
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.7 , pp. 2019-2034
    • Sun, Z.1
  • 8
    • 0344983340 scopus 로고    scopus 로고
    • Detecting pedestrians using patterns of motion and appearance
    • France
    • P. Viola et al., "Detecting pedestrians using patterns of motion and appearance", Int. Conf. Computer Vision, pp.734-741, France, 2003.
    • (2003) Int. Conf. Computer Vision , pp. 734-741
    • Viola, P.1
  • 11
    • 70449572686 scopus 로고    scopus 로고
    • Obstacle recognition using multiple kernel in visible and infrared images
    • Xi'an, China, June 02-05
    • A. Apatean, A. Rogozan, A. Bensrhair, "Obstacle Recognition using Multiple Kernel in Visible and Infrared Images", IEEE Intelligent Vehicles Symposium, pp.370-375, Xi'an, China, June 02-05, 2009.
    • (2009) IEEE Intelligent Vehicles Symposium , pp. 370-375
    • Apatean, A.1    Rogozan, A.2    Bensrhair, A.3
  • 13
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • O. Chapelle et al., "Choosing multiple parameters for support vector machines", Machine Learning, 46(1/3), 131-159, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 131-159
    • Chapelle, O.1
  • 16
    • 84863767316 scopus 로고    scopus 로고
    • http://upload.pobrun.com/40/uploads/files/simplesvm/ documentationSimpleSVM.pdf


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.