1 |
M. Pedersoli, J. Gonzalez, X. Hu, and X. Roca, "Toward Real-Time Pedestrian Detection based on a Deformable Template Model," Intelligent Transportation Systems, Vol. 15, No. 1, pp. 355-364, 2014.
DOI
|
2 |
H. Jung, Y. Ehara, J.K. Tan, H. Kim, and S. Ishikawa, "Applying MSC-HOG Feature to the Detection of a Human on a Bicycle," Proceeding of International Conference on Control, Automation and Systems, pp. 514-517, 2012.
|
3 |
H. Cho, P.E. Rybski, and W. Zhang, "Vision-based Bicyclist Detection and Tracking for Intelligent Vehicles," Proceeding of IEEE Interlligent Vehiecles Symposium, pp. 454-461, 2010.
|
4 |
N. Dalal and B. Triggs, "Histogram of Oriented Gradients for Human Detection," Computer Vision and Pattern Recognition, pp. 886-893, 2005.
|
5 |
T. Ojala, M. Pietikainnen, and D. Harwood, "A Comparative Study of Texture Measures with Classification based on Features Distribution," Pattern Recognition, Vol. 29, No. 1, pp. 51-59, 1996.
DOI
|
6 |
Y.H. Lee, J.C. Shim, and T.H. Yi, “3D Face Recognition using Projection Vectors for the Area in Contour Lines," The Journal of Korea Multimedia Society, Vol. 6, No. 2, pp. 230-240, 2003.
|
7 |
A. Haldou, X You, and B. Bogno, "Pedestrian Detection based on Multi-Block Local Binary Pattern and Biologically Inspired Feature," Computer and Information Science, Vol. 7, No. 1, pp. 125-134, 2014.
|
8 |
S. Pavani, D. Delgado, and A.F. Frangi, “Haar-like Features with Optionally Weighted Rectangles for Rapid Object Detection,” Pattern Recognition, Vol. 43, No. 1, pp. 160-172, 2010.
DOI
|
9 |
C. Papageorgiou and T. Poggio, "A Trainable System for Object Detection," International Journal of Computer Vision, Vol. 38, No. 1, pp.15-33, 2000.
DOI
|
10 |
M. Pietikäinen, A. Hadid, G. Zhao, and T. Ahonen, Computer Vision using Local Binary Patterns, Springer, London, 2011.
|
11 |
Y.H. Lee, J.Y. Ko, S.H. Yoon, T.M. Rho, and J.C. Shim, “Pedestrian Recognition using Adaboost Algorithm based on Cascade Method by Curvature and HOG," Journal of Korean Institute of Information Scientists and Engineers, Vol. 16, No. 6, pp. 654-662, 2010.
|
12 |
P. Viloa, M. Jones, and D. Snow, "Detecting Pedestrians using Patterns of Motion and Appearance," International Journal of Computer Vision, Vol. 63, No. 2, pp. 153-161, 2005.
DOI
|
13 |
T. Li, X. Cao, and Y. Xu, "An Effective Crossing Cyclist Detection on a Moving Vehicle," Proceedings of the 8th World Congress on Intelligent Control and Automation, pp. 368-372, 2010.
|
14 |
D.A. Reynolds, T.F. Quatieri, and R.B. Dunn, "Speaker Verification using Adapted Gaussian Mixture Models," Digital Signal Processing, Vol. 10, Nos. 1-3, pp. 19-41, 2000.
DOI
|
15 |
J. A. K. Suykens and J. Vandewalle, "Least Squares Support Vector Machine," Neural Processing Letters, Vol. 9, No.3, pp.293-300, 1999.
DOI
|
16 |
C. J. C. Burges, "A Tutorial on Support Vector Machines for Pattern. Recognition," Data Mining and Knowledge Discovery, Vol. 2, No. 2, pp. 121-167, 1998.
DOI
|
17 |
Receiver operating characteristic. http://en.wikipedia.org/wiki/Receiver_operating_characteristic. (accessed April, 29, 2015)
|
18 |
H. Jung, Y. Ehara, J. K. Tan, H. Kim and S. Ishikawa, "Applying MSC-HOG Feature to the Detection of a Human on a Bicycle," Proceeding of 12th ICCAS, pp.514-517, 2012.
|
19 |
H. Cho, P.E. Rybski, and W. Zhang, "Vision-based Bicyclist Detection and Tracking for Intelligent Vehicles," Proceeding of IEEE IVS2010, pp. 454-461, 2010.
|