Learning discriminative spatial relations for detector dictionaries: An application to pedestrian detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7573 LNCS, Issue PART 2, 2012, Pages 273-286

  Sangineto, Enver ^a   Cristani, Marco ^a   Del Bue, Alessio ^a   Murino, Vittorio ^a  

^a ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATASETS; CLASSIFICATION APPROACH; CLASSIFICATION TASKS; DETECTOR RESPONSE; HUMAN BODIES; IMAGE REPRESENTATIONS; OBJECT DETECTORS; PEDESTRIAN DETECTION; PEOPLE DETECTION; RANDOM FORESTS; SPATIAL RELATIONS; STATE-OF-THE-ART APPROACH; TRAINING SETS; VISUAL FEATURE;

CLASSIFICATION (OF INFORMATION); COMPUTER VISION; DECISION TREES;

DETECTORS;

EID: 84867884702     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33709-3_20     Document Type: Conference Paper

References (36)

1. Torresani, L., Szummer, M., Fitzgibbon, A.: Efficient Object Category Recognition Using Classemes. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 776-789. Springer, Heidelberg (2010)
2. Li, L.J., Su, H., Xing, E.P., Fei-Fei, L.: Object bank: A high-level image representation for scene classification and semantic feature sparsification. In: NIPS (2010)
3. Bourdev, L., Malik, J.: Poselets: Body part detectors trained using 3D human pose annotations. In: ICCV (2009)
4. Bourdev, L., Maji, S., Brox, T., Malik, J.: Detecting People Using Mutually Consistent Poselet Activations. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part VI. LNCS, vol. 6316, pp. 168-181. Springer, Heidelberg (2010)
5. Maji, S., Bourdev, L., Malik, J.: Action recognition from a distributed representation of pose and appearance. In: CVPR (2011)
6. Felzenszwalb, P.F., Huttenlocher, D.P.: Pictorial structures for object recognition. Int. J. of Computer Vision 61, 55-79 (2005)
7. Ferrari, V., Marín-Jiménez, M.J., Zisserman, A.: Progressive search space reduction for human pose estimation. In: CVPR (2008)
8. Andriluka, M., Roth, S., Schiele, B.: Pictorial Structures Revisited: People Detection and Articulated Pose Estimation. In: CVPR, pp. 1014-1021 (2009)
9. Ramanan, D.: Learning to parse images of articulated bodies. In: Advanced in Neural Information Processing Systems (2006)
10. Yang, Y., Ramanan, D.: Articulated pose estimation using flexible mixtures of parts. In: CVPR (2011)
11. Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient matching of pictorial structures. In: CVPR (2000)
12. Forsyth, D.A., Fleck, M.M.: Body plans. In: CVPR, pp. 678-683 (1997)
13. Ramanan, D., Forsyth, D.A.: Finding and tracking people from the bottom up. In: CVPR (2003)
14. Sigal, L., Bhatia, S., Roth, S., Black, M.J., Isard, M.: Tracking loose-limbed people. In: CVPR, pp. 421-428 (2004)
15. Eichner, M., Ferrari, V.: Better appearance models for pictorial structures. In: BMVC (2009)
16. Breiman, L.: Random forests. Machine Learning 45 (2001)
17. Shotton, J., Fitzgibbon, A., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., Blake, A.: Real-time human pose recognition in parts from single depth images. In: CVPR (2011)
18. Gall, J., Lempitsky, V.: Class-specific Hough forests for object detection. In: CVPR (2009)
19. Hall, M.A., Smith, L.A.: Feature selection for machine learning: Comparing a correlation-based filter approach to the wrapper. In: FLAIRS, pp. 235-239 (1999)
20. Nowozin, S., Rother, C., Bagon, S., Sharp, T., Yao, B., Kohli, P.: Decision tree fields. In: ICCV, pp. 1668-1675 (2011)
21. Viola, P., Jones, M., Snow, D.: Detecting pedestrians using patterns of motion and appearance. Int. J. of Computer Vision 63, 153-161 (2005)
22. Chen, Y.T., Chen, C.S., Hung, Y.P., Chang, K.Y.: Multi-class multi-instance boosting for part-based human detection. In: 9th IEEE International Workshop on Visual Surveillance (2009)
23. Chen, Y.T., Chen, C.S.: Fast human detection using a novel boosted cascading structure with meta stages. IEEE Trans. on Image Processing 17, 1452-1464 (2008)
24. Wachs, J.P., Kolsch, M., Goshorn, D.: Human posture recognition for intelligent vehicles. J. of Real Time Image Processing 5, 231-244 (2010)
25. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR, pp. 886-893 (2005)
26. Felzenszwalb, P.F., Girshick, R.B., McAllester, D.A., Ramanan, D.: Object detection with discriminatively trained part-based models. IEEE Trans. on PAMI 32, 1627-1645 (2010)
27. Leibe, B., Leonardis, A., Schiele, B.: Combined object categorization and segmentation with an implicit shape model. In: ECCV (2004)
28. Leibe, B., Seemann, E., Schiele, B.: Pedestrian detection in crowded scenes. In: CVPR, pp. 878-885 (2005)
29. Gavrila, D.M.: Pedestrian Detection from a Moving Vehicle. In: Vernon, D. (ed.) ECCV 2000. LNCS, vol. 1843, pp. 37-49. Springer, Heidelberg (2000)
30. Fergus, R., Perona, P., Zisserman, A.: Object class recognition by unsupervised scale-invariant learning. In: CVPR, pp. 264-271 (2003)
31. Tuzel, O., Porikli, F., Meer, P.: Pedestrian Detection via Classification on Riemannian Manifolds. IEEE Trans. on PAMI, 1713-1727 (2008)
32. Tosato, D., Farenzena, M., Cristani, M., Spera, M., Murino, V.: Multi-class Classification on Riemannian Manifolds for Video Surveillance. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part II. LNCS, vol. 6312, pp. 378-391. Springer, Heidelberg (2010)
33. Dollár, P., Wojek, C., Schiele, B., Perona, P.: Pedestrian detection: An evaluation of the state of the art. IEEE Trans. on PAMI 34, 743-761 (2012)
34. Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: CVPR, pp. 511-518 (2001)
35. Sun, M., Savarese, S.: Articulated part-based model for joint object detection and pose estimation. In: ICCV (2011)
36. Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: (The PASCAL Visual Object Classes Challenge 2007 (VOC 2007) Results)