參考文獻 |
[1] 彭振軒, 使用樣板筆隊做進出口行人數量統計, 中央大學碩士論文, 2006.
[2] Albiol, Antonio, Silla, J. Maria, Alviol, Alberto, Mossi and M. Jose, "Video Analysis using Corner Motion Statistics," In Performance Evaluation of Tracking and Surveillance workshop at CVPR, pp. 31-38, 2009.
[3] D. Conte, P. Foggia, G. Percannella, F. Tufano and M. Vento, "Counting Moving People in Videos by Salient Points Detection," International Conference on Pattern Recognition, pp. 1743-1744, 2010.
[4] D. Conte, P. Foggia, G. Percannella, F. Tufano and M. Vento, "A Method for Counting Moving People in Video Surveillance Videos," Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume, pp. 1-9, 2010.
[5] K. E. Aziz, D. Merad and B. Fertil, "Pedestrian head detection and tracking using skeleton graph for people counting in crowded environments," Signal and Image Processing and Applications, pp. 1-4, 2011.
[6] M. Patzold and R. H. Evangelio, "Counting people in crowded enivronments by fusion of shape and motion information," 2010 Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 157-159, 2010.
[7] S. Choudri, J. M. Ferryman and A. Badii, "Robust Background Model for Pixel Based People Counting using a Single Uncalibrated Camera," IEEE International Workshop on Performance Evaluation of Tracking and SurveillanceTwelfth, pp. 1-8, 2009.
[8] W. Ge and R. T. Collins, "Evaluation of Sampling-based Pedestrian Detection for Crowd Counting," IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, pp. 1-7, 2009.
[9] Y.-L. Hou and G. K. Pang, "People Counting and Human Detection in a Challenging Situation," IEEE Transaction, pp. 24-27, 2010.
[10] P. Sabzxmeydani and G. Mori, "Detecting Pedestrians by Learning Shapelet Features," Computer Vision and Pattern Recognition, pp. 1-5, 2007.
[11] A. B. Hillel, D. Levi, E. Krupka and C. Goldberg, "Part-Based Features Synthesis for Human Detection," European Conference on Computer Vision, pp. 127-142, 2010.
[12] B. Wu and R. Nevatia, "Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors," International Journal of Computer Vision, pp. 90-97, 2007.
[13] L. Oliveira and U. Nunes, "On Exploration of Calssifier Ensemble Synergism in Pedestrian Detection," IEEE Transactions on Intelligent Transportation Systems, pp. 16-27, 2010.
[14] G. Gualdi, A. Prati and R. Cucchiara, "Multi-stage Sampling with Boosting Cascades for Pedestrian Detection in Images and Videos," European Conference on Computer Vision, pp. 196-209, 2010.
[15] H. Han and Y. Fan, Human Detection Based on Curvelet Transform and Integrating Heterogeneous Features, Institute of Intelligent Information Processing, 2011.
[16] W. Gao and H. Ai, "Adaptive Contour Features in Oriented Granular Space for Human Detection and Segmentation," IEEE Conference on Computer Vision and Pattern Recognition, pp. 1786 - 1793 , 2009.
[17] N. Dalal and B. Triggs, "Histograms of Oriented Gradients for Human Detection," in International Conference on Computer Vision & Pattern Recognition vol.2, p. 886–893, 2005.
[18] Cortes, Corinna, a. Vapnik and V. N, Support-Vector Networks, Machin Learning.
[19] D. G. Lowe, "Object recognition from local scale-invariant," Proceedings of International Conference on Computer , pp. 1150-1157, 1999.
[20] C. Harris and M. Strphens, A Combined Corner and Edge Detector, Proceedings of the 4th Alvey Vision Conference, 1988.
[21] 黃子桓, “Support Vector Regression”.
[22] 蘇木春,張孝德, 機器學習:類神經網路、模糊系統、以及基因演算法, 全華科技圖書股份有限公司.
[23] K.-C. Hui and W.-C. Siu, "Extended Analysis of Motion-Compensated Frame," IEEE TRANSACTIONS ON IMAGE PROCESSING, pp. 1232-1245, 2007.
[24] Werlberger and Manuel, "Anisotropic Huber-L Optical Flow," British Machine Vision Conference, pp. 1-9, 2009.
[25] L. Chen, H. Yang, Takaki and T. Ishii, "Real-time frame-straddling-based optical flow detection," IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 2447-2452, 2011.
[26] S.-K. Liao and B.-Y. Liu, "An edge-based approach to improve optical flow algorithm," 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), pp. V6-45 - V6-51 , 2010.
[27] Stanisavljevic, Kalafatic and Z. Ribaric, "Optical flow estimation over extended image sequence," Electrotechnical Conference, 2000. MELECON 2000. 10th Mediterranean, pp. 546-549, 2000.
[28] I. Ishii, T. Taniguchi, K. Yamamoto and T. Takaki, "High-Frame-Rate Optical Flow System," IEEE Transactions on Circuits and Systems for Video Technology, pp. 105-112, 2012.
[29] 王惠青, 劉兆文 且 林雯婷, Multivariate Statistical Methods for Modeling, 王惠青.
[30] C.-C. Chang and C.-J. Lin, "LIBSVM -- A Library for Support Vector Machines," 2001~2012. [Online]. Available: http://www.csie.ntu.edu.tw/~cjlin/libsvm/.
[31] Shaw, Intellectual ability and cortical development in children and adolescents, Nature, 2006.
[32] R. T. C. Weina Ge, “Evaluation of Sampling-based Pedestrian Detection for Crowd Counting,” IEEE International Workshop on PETS, 2009.
[33] D. G. Lowe, “ Object recognition from local scale-invariant features,” Proceedings of the International Conference on Computer Vision. , 1999.
[34] C. S. J. Z. S. Paisitkriangkrai, “Performance evaluation of local features in human classification and detection,” IET Computer Vision, 2008.
[35] R. N. Bo Wu, “Optimizing Discrimination-Efficiency Tradeoff in Integrating Heterogeneous Local Features for Object Detection,” IEEE Conference on Computer Vision and Pattern Recognition, 2008.
[36] 曾宥臻, “影像中賦予信任等級的群眾切割,” 中央大學資工碩士論文, 2011.
[37] R. Martin, M. Stefan, B. Gregory 且 D. Joachim, “Pedestrian Detection by Probabilistic,” Springer-Verlag Berlin Heidelberg, 2009.
[38] Frolova, Darya, Simakov and Denis, Harris Corner Detector, The Weizmann Institute of Science, 2004.
[39] Biano, Support Vector Machine 簡介.
[40] H. Bay, A. Ess, T. Tuytelaars and L. V. Gool, "Speeded-Up Robust Features," European Conference on Computer Vision, pp. 1-10, 2008.
|