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Volumn 6495 LNCS, Issue PART 4, 2011, Pages 281-292

Pyramid center-symmetric local binary/trinary patterns for effective pedestrian detection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONALLY EFFICIENT; COMPUTER VISION APPLICATIONS; DATA SETS; DETECTION PERFORMANCE; GRADIENT INFORMATIONS; PEDESTRIAN DETECTION; REAL-TIME APPLICATION; TEXTURE INFORMATION;

EID: 79952521135     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-19282-1_23     Document Type: Conference Paper
Times cited : (35)

References (24)
  • 1
    • 0029669420 scopus 로고    scopus 로고
    • A comparative study of texture meatures with classification based on featured distribution
    • Ojala, T., Pietikainen, M., Harwood, D.: A comparative study of texture meatures with classification based on featured distribution. Pattern Recogn. 29, 51-59 (1996)
    • (1996) Pattern Recogn. , vol.29 , pp. 51-59
    • Ojala, T.1    Pietikainen, M.2    Harwood, D.3
  • 3
    • 33846638203 scopus 로고    scopus 로고
    • Multi-cue pedestrian detection and tracking from a moving vehicle
    • DOI 10.1007/s11263-006-9038-7
    • Gavrila, D.M., Munder, S.: Multi-cue pedestrian detection and tracking from a moving vehicle. Int. J. Comp. Vis. 73, 41-59 (2007) (Pubitemid 46181616)
    • (2007) International Journal of Computer Vision , vol.73 , Issue.1 , pp. 41-59
    • Gavrila, D.M.1    Munder, S.2
  • 5
    • 67649987087 scopus 로고    scopus 로고
    • Pedestrian detection using 3d optical flow sequences for a mobile robot
    • Leece, Italy
    • Nakada, T., Kagami, S., Mizoguchi, H.: Pedestrian detection using 3d optical flow sequences for a mobile robot. In: Proc. IEEE Conf. Sens, Leece, Italy, pp. 776-779 (2008)
    • (2008) Proc IEEE Conf. Sens , pp. 776-779
    • Nakada, T.1    Kagami, S.2    Mizoguchi, H.3
  • 6
    • 0344983340 scopus 로고    scopus 로고
    • Detecting pedestrian using patterns of motion and appearance
    • Nice, France
    • Viola, P., Jones, M.J., Snow, D.: Detecting pedestrian using patterns of motion and appearance. In: Proc. IEEE Int. Conf. Comp. Vis., Nice, France, vol. 2, pp. 734-741 (2003)
    • (2003) Proc IEEE Int. Conf. Comp. Vis. , vol.2 , pp. 734-741
    • Viola, P.1    Jones, M.J.2    Snow, D.3
  • 7
    • 35048895925 scopus 로고    scopus 로고
    • Human detection based on a probabilistic assembly of robust part detectors
    • Pajdla, T., Matas, J(G.) eds., Springer, Heidelberg
    • Mikolajczyk, K., Schmid, C., Zisserman, A.: Human detection based on a probabilistic assembly of robust part detectors. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 69-82. Springer, Heidelberg (2004)
    • (2004) ECCV 2004. LNCS , vol.3021 , pp. 69-82
    • Mikolajczyk, K.1    Schmid, C.2    Zisserman, A.3
  • 9
    • 50249179541 scopus 로고    scopus 로고
    • PhD thesis, Institut National Polytechnique de Grenoble
    • Dalal, N.: Finding people in images and videos. PhD thesis, Institut National Polytechnique de Grenoble (2006)
    • (2006) Finding People in Images and Videos
    • Dalal, N.1
  • 10
    • 34948876368 scopus 로고    scopus 로고
    • Human detection via classification on riemannian manifolds
    • Minneapolis, Minnesota, USA
    • Tuzel, O., Porikli, F., Meer, P.: Human detection via classification on riemannian manifolds. In: Proc. IEEE Conf. Comp. Vis. Patt. Recogn., Minneapolis, Minnesota, USA, pp. 1-8 (2007)
    • (2007) Proc IEEE Conf. Comp. Vis. Patt. Recogn. , pp. 1-8
    • Tuzel, O.1    Porikli, F.2    Meer, P.3
  • 14
    • 85020603202 scopus 로고    scopus 로고
    • An HoG-LBP human detector with partial occlusion handling
    • Kyoto, Japan
    • Wang, X., Han, T., Yan, S.: An HoG-LBP human detector with partial occlusion handling. In: Proc. IEEE Int. Conf. Comp. Vis., Kyoto, Japan, pp. 32-39 (2009)
    • (2009) Proc IEEE Int. Conf. Comp. Vis. , pp. 32-39
    • Wang, X.1    Han, T.2    Yan, S.3
  • 16
    • 51949098112 scopus 로고    scopus 로고
    • Classification using intersection kernel support vector machines is efficient
    • Anchorage, Alaska, USA
    • Maji, S., Berg, A., Malik, J.: Classification using intersection kernel support vector machines is efficient. In: Proc. IEEE Conf. Comp. Vis. Patt. Recogn., Anchorage, Alaska, USA, pp. 1-8 (2008)
    • (2008) Proc. IEEE Conf. Comp. Vis. Patt. Recogn. , pp. 1-8
    • Maji, S.1    Berg, A.2    Malik, J.3
  • 18
    • 54549085366 scopus 로고    scopus 로고
    • Description of interest regions with local binary patterns
    • Heikkila, M., Schmid, C.: Description of interest regions with local binary patterns. Pattern Recogn. 42, 425-436 (2009)
    • (2009) Pattern Recogn. , vol.42 , pp. 425-436
    • Heikkila, M.1    Schmid, C.2
  • 19
    • 0036647193 scopus 로고    scopus 로고
    • Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
    • DOI 10.1109/TPAMI.2002.1017623
    • Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24, 971-987 (2002) (Pubitemid 34835471)
    • (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.24 , Issue.7 , pp. 971-987
    • Ojala, T.1    Pietikainen, M.2    Maenpaa, T.3
  • 21
    • 77952634397 scopus 로고    scopus 로고
    • Enhanced local texture feature sets for face recognition under difficult lighting conditions
    • Tan, X., Triggs, B.: Enhanced local texture feature sets for face recognition under difficult lighting conditions. IEEE Trans. Image Process. 19, 1635-1650 (2010)
    • (2010) IEEE Trans. Image Process. , vol.19 , pp. 1635-1650
    • Tan, X.1    Triggs, B.2
  • 24
    • 85067032737 scopus 로고    scopus 로고
    • On feature combination for multiclass object classification
    • Gehler, P., Nowozin, S.: On feature combination for multiclass object classification. In: Proc. IEEE Int. Conf. Comp. Vis., pp. 221-228 (2009)
    • (2009) Proc IEEE Int. Conf. Comp. Vis. , pp. 221-228
    • Gehler, P.1    Nowozin, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.