-
2
-
-
0034206769
-
A trainable system for object detection
-
C. Papageorgiou and T. Poggio. "A trainable system for object detection". IJCV, 38(l):15-33, 2000.
-
(2000)
IJCV
, vol.38
, Issue.L
, pp. 15-33
-
-
Papageorgiou, C.1
Poggio, T.2
-
3
-
-
0008814713
-
Stereo and neural network-based pedestrian detection
-
Sep
-
L. Zhao and C. Thorpe, "Stereo and neural network-based pedestrian detection," IEEE Trans. Intelligent Transportation. System, vol. 1, no. 3, pp. 148-154, Sep. 2000.
-
(2000)
IEEE Trans. Intelligent Transportation. System
, vol.1
, Issue.3
, pp. 148-154
-
-
Zhao, L.1
Thorpe, C.2
-
4
-
-
0344983340
-
-
P. Viola, M. J. Jones, and D. Snow. Detecting pedestrians using patterns of motion and appearance. The 9th ICCV, Nice, France, 1, pages 734-741, 2003.
-
P. Viola, M. J. Jones, and D. Snow. "Detecting pedestrians using patterns of motion and appearance". The 9th ICCV, Nice, France, volume 1, pages 734-741, 2003.
-
-
-
-
5
-
-
33744792263
-
Pedestrian detection in crowed scenes
-
Jun
-
B. Leibc, E. Secmann, and B. Schiele, "Pedestrian detection in crowed scenes," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition, vol. 1, pp. 878-885, Jun. 2005
-
(2005)
Proc. IEEE Conf. on Computer Vision and Pattern Recognition
, vol.1
, pp. 878-885
-
-
Leibc, B.1
Secmann, E.2
Schiele, B.3
-
6
-
-
24644521635
-
Human detection based on a probabilistic assembly of robust part detectors
-
Prague, Czech Republic
-
K. Mikolajczyk, C. Sehmid, and A. Zisserman. "Human detection based on a probabilistic assembly of robust part detectors". The 8th ECCV, Prague, Czech Republic, volume I, pp. 69-81, 2004.
-
(2004)
The 8th ECCV
, vol.1
, pp. 69-81
-
-
Mikolajczyk, K.1
Sehmid, C.2
Zisserman, A.3
-
7
-
-
34249875678
-
Combination of feature extraction methods for SVM pedestrian detection
-
I. P. Alonso et al. "Combination of feature extraction methods for SVM pedestrian detection." IEEE Trans. Intelligent Transportation Systems, 8(2): 292-307, 2007.
-
(2007)
IEEE Trans. Intelligent Transportation Systems
, vol.8
, Issue.2
, pp. 292-307
-
-
Alonso, I.P.1
-
8
-
-
49249084586
-
A pedestrian detector using histograms of oriented gradients and a support vector machine classifier
-
M. Bertozzi, A. Broggi, M. Del Rose, M. Felisa, A. Rakotomamonjy and F. Suard. "A pedestrian detector using histograms of oriented gradients and a support vector machine classifier". Intelligent Transportation Systems Conference, 2007.
-
(2007)
Intelligent Transportation Systems Conference
-
-
Bertozzi, M.1
Broggi, A.2
Del Rose, M.3
Felisa, M.4
Rakotomamonjy, A.5
Suard, F.6
-
11
-
-
0035305653
-
Example-based object detection in images by components
-
April
-
A. Mohan, C. Papageorgiou, and T. Poggio. "Example-based object detection in images by components". PAMI, 23(4):349-361, April 2001.
-
(2001)
PAMI
, vol.23
, Issue.4
, pp. 349-361
-
-
Mohan, A.1
Papageorgiou, C.2
Poggio, T.3
-
12
-
-
29544440365
-
PCA-SIFT: A more distinctive representation for local image descriptors
-
Washington, DC, USA
-
Y. Ke and R. Sukthankar. "PCA-SIFT: A more distinctive representation for local image descriptors". CVPR, Washington, DC, USA, pages 66-75, 2004.
-
(2004)
CVPR
, pp. 66-75
-
-
Ke, Y.1
Sukthankar, R.2
-
13
-
-
0034850567
-
-
S. Belongie, J. Malik, and J. Puzicha. Matching shapes. The 8th ICCV, Vancouver, Canada, pages 454-461, 2001.
-
S. Belongie, J. Malik, and J. Puzicha. "Matching shapes". The 8th ICCV, Vancouver, Canada, pages 454-461, 2001.
-
-
-
-
14
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
D. G. Lowe. "Distinctive image features from scale-invariant keypoints". IJCV, 60(2):91-110, 2004.
-
(2004)
IJCV
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.G.1
-
15
-
-
60749105580
-
-
The software is an extension developed by Tom Briggs to the Joachims's SVM-lite package. T. Joachims, Making large-scale SVM learning practical. Pages: 169 - 184. In B. Schlokopf and C. Burges and A. Smola (ed.) Advances in kernel methods - support vector 1earaing.MIT- Press,1999,Available:http://webspace,ship.edu/thbrig/mexsvm/svm-mex601.tar.gz
-
The software is an extension developed by Tom Briggs to the Joachims's SVM-lite package. T. Joachims, "Making large-scale SVM learning practical". Pages: 169 - 184. In B. Schlokopf and C. Burges and A. Smola (ed.) "Advances in kernel methods - support vector 1earaing".MIT- Press,1999,Available:http://webspace,ship.edu/thbrig/mexsvm/svm-mex601.tar.gz
-
-
-
-
16
-
-
84962024044
-
-
M. Gordan, A. Georgakis, O. Tsatos, G. Oltean, L. Miclea. Computational complexity reduction of the support vector machine classifiers for image analysis tasks through the use of the discrete cosine transform, IEEE Int. Conf. on Automation, Quality and Testing, Robotics, 2, no., pp.350-355, May 2006
-
M. Gordan, A. Georgakis, O. Tsatos, G. Oltean, L. Miclea. "Computational complexity reduction of the support vector machine classifiers for image analysis tasks through the use of the discrete cosine transform," IEEE Int. Conf. on Automation, Quality and Testing, Robotics, vol.2, no., pp.350-355, May 2006
-
-
-
-
17
-
-
60749097190
-
-
Available
-
Available: http://pascal.inrialpes.fr/sofl/olt/OLTbinaries.zip
-
-
-
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