[1] Xiaogang Wang, Meng Wang, Wei Li.Scene-Specific Pedestrian Detection for Static Video Surveillance[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (S0162-8828), 2014, 36(2): 361-374. [2] M Everingham, L Van Gool, J Winn, et al. The PASCAL Visual Object Classes (VOC) Challenge[J]. International Journal of Computer Vision (S0920-5691), 2010, 88(2): 303-338. [3] P F Felzenszwalb, D McAllester, D Ramanan.Object detection with discriminatively trained part-based models[J]. IEEE Pattern Analysis and Machine Intelligence (S0162-8828), 2010, 32(9): 1627-1645. [4] http://host.robots.ox.ac.uk:8080/pascal/VOC/ [DB/OL].(2014-11)[2015-06]. [5] P Ott, M Everingham.Shared parts for deformable part-based model[J]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (S1063-6919), 2011, 6(1): 1513-1520. [6] H T Niknejad, S Mita, D McAllester, et al. Vision based vehicle detection with discriminately trained mixture of weighted deformable part models[J]. IEEE Intelligent Transportation Systems (S2153-0009), 2011, 10(1): 1560-1565. [7] L Zhu, Y Chen, A Yuille, et al. Latent hierarchical structural learning for object detection[J]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (S1063-6919), 2010, 6(1): 1062-1069. [8] M Enzweiler, A Eigenstetter, B Schiele, et al. Multi-cue pedestrian classification with partial occlusion handling[J]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (S1063-6919), 2010, 6(1): 990-997. [9] G Duan, H Ai, S Lao.A structural filter approach to human detection[J]. ECCV (S0302-9743), 2010, 9(1): 238-251. [10] M Enzweiler, A Eigenstetter, B Schiele, et al. Gavrila. Multi-cue pedestrian classification with partial occlusion handling[C]// Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (S1063-6919). USA: IEEE, 2010. [11] T Wu, S Zhu.A numeric study of the bottom-up and top-down inference processes in and-or graphs[J]. Int’l Journal of Computer Vision (S0920-5691), 2011, 93(2): 226-252. [12] W Fang, Y Zhao, Y Yuan K.Real time multiple vehicles tracking with occlusion handling[C]// Sixth International Conference on Image and Graphic (S978-0-7695-4541-7). USA: IEEE, 2011, 8: 667-672. [13] H T Niknejad, K Takeuchi, S Mita, et al. On-road multi vehicle tracking using deformable object model and particle filter with improved likelihood estimation[J]. IEEE Transactions on Intelligent Transportation Systems (S1524-9050), 13(2): 748-758. [14] W Ouyang, X Wang.A discriminative deep model for pedestrian detection and occlusion handling[J]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (S1063-6919), 2012, 6(1): 3258-3265. [15] S Sivaraman, M M Trivedi.Real-time vehicle detection using part at intersections[J]. Proc. IEEE Intelligent Transportation Systems (S2153-0009), 2012, 9(1): 1519-1524. [16] A Quattoni, M Collins, T Darrell.Conditional random fields for object recognition[J]. NIPS (S0018-9448), 2004, 12: 1097-1104. [17] N Dalal, B Triggs.Histograms of oriented gradients for human detection[J]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (S1063-6919), 2005, 6(1): 886-893. [18] P Felzenszwalb, D Huttenlocher.Distance transforms of sampled functions[M]. USA: Cornell University CIS, Tech. Rep. 2004: 2004-1963. [19] S Andrews, I Tsochantaridis, T Hofmann.Support Vector Machines for Multiple-Instance Learning[J]. NIPS (S0018-9448), 2003, 12(1): 577-584. [20] S Shalev-Shwartz, Y Singer, N Srebro.Pegasos: primal estimated sub-gradient solver for SVM[J]. Mathematical Programming (S0025-5610), 2011, 127(1): 3-30. |