Two-Stage Classification Approach for Human Detection in Camera Video in Bulk Ports

1. Mi, Chao; He, Xin; Liu, Haiwei; Huang, Youfang; Mi, Weijian, “Research on a Fast Human-Detection Algorithm for Unmanned Surveillance Area in Bulk Ports”, Mathematical Problems in Engineering, 2014, DOI: 10.1155/2014/38676410.1155/2014/386764Search in Google Scholar

2. Mi C, Shen Y, Mi W, et al. “Ship Identification Algorithm Based on 3D Point Cloud for Automated Ship Loaders”. Journal of Coastal Research, 2015, 73(sp1): 28-34, DOI: 10.2112/SI73-006.110.2112/SI73-006.1Search in Google Scholar

3. Bian Zhicheng, Yang Yongsheng, Mi Weijian, Mi Chao. “Dispatching electric AGVs in Automated Container Terminals with long travel distance”. Journal of Coastal Research, 2015, 73(sp1): 75-81, DOI: 10.2112/SI73-014.110.2112/SI73-014.1Search in Google Scholar

4. Xiaoming Yang, Ning Zhao,Zhicheng Bian,Jiaqi Chai, and Chao Mi. “An intelligent storage determining method for inbound containers in container terminals”. Journal of Coastal Research, 2015, 73(sp1): 197-204, DOI: 10.2112/ SI73-035.110.2112/SI73-035.1Search in Google Scholar

5. Yung-Chi Lo; Po-Yen Lee ;Shyi-Chyi Cheng. “Space-time template matching for human action detection using volume-based Generalized Hough transform”. Image Processing (ICIP), 2011 18th IEEE International Conference on. pp.2097 - 2100(2011), DOI: 10.1109/ICIP.2011.611602110.1109/ICIP.2011.6116021Search in Google Scholar

6. SongminJia; ShuangWang ;Lijia Wang et al. “Robust human detecting and tracking using varying scale template matching”. Information and Automation (ICIA), 2012 International Conference on. pp. 25 - 30(2012), DOI: 10.1109/ICInfA.2012.624677610.1109/ICInfA.2012.6246776Search in Google Scholar

7. Navneet Dalal and Bill Triggs, 2005. “Histograms of oriented gradients for human detection”.. Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, pp.886- 893(2005), DOI: 10.1109/ CVPR.2005.177Search in Google Scholar

8. Hong Tian, Zhu Duan, Ajith Abraham, Hongbo Liu.” A novel multiplex cascade classifier for pedestrian detection”. Pattern Recognition Letters, Volume 34, Issue 14, 15 October 2013, Pages 1687-1693, DOI: 10.1016/j.patrec.2013.04.01510.1016/j.patrec.2013.04.015Search in Google Scholar

9. Hai-Miao Hu, Xiaowei Zhang, Wan Zhang, Bo Li.” Joint global-local information pedestrian detection algorithm for outdoor video surveillance”. Journal of Visual Communication and Image Representation, Volume 26, January 2015, Pages 168-181, DOI: 10.1016/j.jvcir.2014.11.00910.1016/j.jvcir.2014.11.009Search in Google Scholar

10. Qiang Zhu; Yeh, M.-C. ; Kwang-Ting Cheng.et al. “Fast Human Detection Using a Cascade of Histograms of Oriented Gradients”. Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on. Vol.2, pp.1491 - 1498(2006), DOI: 10.1109/CVPR.2006.11910.1109/CVPR.2006.119Search in Google Scholar

11. Cristina Conde, Daniela Moctezuma, et.al.“HoGG: Gabor and HoG-based human detection for surveillance in non-controlled environments” Neurocomputing, Volume 100, 16 January 2013, Pages 19-30, DOI: 10.1016/j. neucom.2011.12.037Search in Google Scholar

12. Marco Pedersoli, Jordi Gonzalez, Andrew D. Bagdanov, Xavier Roca. ”Efficient discriminative multiresolution cascade for real-time human detection applications”. Pattern Recognition Letters, Volume 32, Issue 13, 1 October 2011, Pages 1581-1587, DOI: 10.1016/j.patrec.2011.06.01910.1016/j.patrec.2011.06.019Search in Google Scholar

13. Ninomiya, H; Ohki, H.; Gyohten, K. et al. “An evaluation on robustness and brittleness of HOG features of human detection”. Frontiers of Computer Vision (FCV), 2011 17th Korea-Japan Joint Workshop on. pp. 1 - 5( 2011), DOI: 10.1109/FCV.2011.573974610.1109/FCV.2011.5739746Search in Google Scholar

14. Ying Tan; Jun Wang. “A support vector machine with a hybrid kernel and minimal Vapnik-Chervonenkis dimension”. Knowledge and Data Engineering, IEEE Transactions on. Vol.16, pp 385 - 395(2004), DOI: 10.1109/ TKDE.2004.1269664Search in Google Scholar

15. QiuXintao; Fu Dongmei ; Yang Tao. “A novel approach to optimize the objective function based on VC dimension and structural risk minimization”. Control Conference (CCC), 2011 30th Chinese. pp. 3226 - 3230(2011)Search in Google Scholar

16. Ando, H. Fujiyoshi, H. “Human-Area Segmentation by Selecting Similar Silhouette Images Based on Weak- Classifier Response”. Pattern Recognition (ICPR), 2010 20th International Conference on. pp. 3444 - 3447(2010). DOI: 10.1109/ICPR.2010.84110.1109/ICPR.2010.841Search in Google Scholar

17. Jiayuan Yu. “The application of BP-Adaboost strong classifier to acquire knowledge of student creativity”. Computer Science and Service System (CSSS), 2011 International Conference on. pp.669 - 2672(2011). DOI: 10.1109/CSSS.2011.597499910.1109/CSSS.2011.5974999Search in Google Scholar

18. Lie Guo, Ping-Shu Ge, Ming-Heng Zhang, Lin-Hui Li, Yi-Bing Zhao.” Pedestrian detection for intelligent transportation systems combining AdaBoost algorithm and support vector machine” Expert Systems with Applications, Volume 39, Issue 4, March 2012, Pages 4274-4286,DOI: 10.1016/j.eswa.2011.09.10610.1016/j.eswa.2011.09.106Search in Google Scholar

19. Huimin Qian, Yaobin Mao, Wenbo Xiang, Zhiquan Wang.” Recognition of human activities using SVM multiclass classifier”. Pattern Recognition Letters, Volume 31, Issue 2, 15 January 2010, Pages 100-111, DOI: 10.1016/j. patrec.2009.09.019Search in Google Scholar

20. Kanitkar, A. Bharti, B. ;Hivarkar, U.N. “Vision based preceding vehicle detection using self shadows and structural edge features”. Image Information Processing (ICIIP), 2011 International Conference on. pp.1 - 6(2011), DOI: 10.1109/ICIIP.2011.610892210.1109/ICIIP.2011.6108922Search in Google Scholar

21. Man Zhang; Zhenan Sun ;Tieniu Tan. “Deformed iris recognition using bandpass geometric features and lowpass ordinal features”. Biometrics (ICB), 2013 International Conference on. pp.1 - 6(2013), DOI: 10.1109/ ICIIP.2011.6108922Search in Google Scholar

22. Yu Cheng; ZhigangJin; CunmingHao. “Illumination normalization based on 2D Gaussian illumination model”. Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on. Vol.3, pp.V3-451 - V3-455(2010). DOI: 10.1109/ICACTE.2010.557987010.1109/ICACTE.2010.5579870Search in Google Scholar

23. Ying Bai; Dali Wang. “On the Comparison of Trilinear, Cubic Spline, and Fuzzy Interpolation Methods in the High-Accuracy Measurements”. Fuzzy Systems, IEEE Transactions on. Vol.8, pp. 1016 - 1022(2010), DOI: 10.1109/ TFUZZ.2010.2064170Search in Google Scholar

24. Corinna Cortes; Vladimir Vapnik. “Support-vector networks”. Machine Learning. Vol.20, Issue 3, pp 273-297(1995), DOI: 10.1007/BF00994018 10.1007/BF00994018Search in Google Scholar