Activity forecasting

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

Volumn 7575 LNCS, Issue PART 4, 2012, Pages 201-214

  Kitani, Kris M ^a   Ziebart, Brian D ^a   Bagnell, James Andrew ^a   Hebert, Martial ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

activity forecasting; inverse optimal control

Indexed keywords

ACTIVITY ANALYSIS; HUMAN ACTIONS; INVERSE-OPTIMAL CONTROL; KEY ELEMENTS; OPTIMAL CONTROL THEORY; PHYSICAL ENVIRONMENTS; PROOF OF CONCEPT; SCENE UNDERSTANDING; TRACKING ALGORITHM; TRAJECTORY-BASED; TRANSFER LEARNING; UNIFIED MODEL;

COMPUTER VISION; MODELS; SEMANTICS; VISION;

FORECASTING;

EID: 84867863926     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33765-9_15     Document Type: Conference Paper

References (23)

1. Munoz, D., Bagnell, J.A., Hebert, M.: Stacked Hierarchical Labeling. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part VI. LNCS, vol. 6316, pp. 57-70. Springer, Heidelberg (2010)
2. Munoz, D., Bagnell, J.A., Hebert, M.: Co-inference for Multi-modal Scene Analysis. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part VI. LNCS, vol. 7577, pp. 668-681. Springer, Heidelberg (2012)
3. Ziebart, B., Ratliff, N., Gallagher, G., Mertz, C., Peterson, K., Bagnell, J., Hebert, M., Dey, A., Srinivasa, S.: Planning-based prediction for pedestrians. In: IROS (2009)
4. Abbeel, P., Ng, A.: Apprenticeship learning via inverse reinforcement learning. In: ICML (2004)
5. Baker, C., Saxe, R., Tenenbaum, J.: Action understanding as inverse planning. Cognition 113(3), 329-349 (2009)
6. Ziebart, B., Maas, A., Bagnell, J., Dey, A.: Maximum entropy inverse reinforcement learning. In: AAAI (2008)
7. Levine, S., Popovic, Z., Koltun, V.: Nonlinear inverse reinforcement learning with Gaussian processes. In: NIPS (2011)
8. Morris, B., Trivedi, M.: A survey of vision-based trajectory learning and analysis for surveillance. Transactions on Circuits and Systems for Video Technology 18(8), 1114-1127 (2008)
9. Ali, S., Shah, M.: Floor Fields for Tracking in High Density Crowd Scenes. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 1-14. Springer, Heidelberg (2008)
10. Zen, G., Ricci, E.: Earth mover's prototypes: A convex learning approach for discovering activity patterns in dynamic scenes. In: CVPR (2011)
11. Mehran, R., Oyama, A., Shah, M.: Abnormal crowd behavior detection using social force model. In: CVPR (2009)
12. Pellegrini, S., Ess, A., Schindler, K., Van Gool, L.J.: You'll never walk alone: Modeling social behavior for multi-target tracking. In: ICCV (2009)
13. Turek, M.W., Hoogs, A., Collins, R.: Unsupervised Learning of Functional Categories in Video Scenes. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part II. LNCS, vol. 6312, pp. 664-677. Springer, Heidelberg (2010)
14. Huang, C., Wu, B., Nevatia, R.: Robust Object Tracking by Hierarchical Association of Detection Responses. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 788-801. Springer, Heidelberg (2008)
15. Kaucic, R., Amitha Perera, A., Brooksby, G., Kaufhold, J., Hoogs, A.: A unified framework for tracking through occlusions and across sensor gaps. In: CVPR (2005)
16. Gong, H., Sim, J., Likhachev, M., Shi, J.: Multi-hypothesis motion planning for visual object tracking. In: ICCV (2011)
17. Xing, Z., Pei, J., Dong, G., Yu, P.: Mining sequence classifiers for early prediction. In: SIAM International Conference on Data Mining (2008)
18. Ryoo, M.: Human activity prediction: Early recognition of ongoing activities from streaming videos. In: ICCV (2011)
19. Hoai, M., De la Torre, F.: Max-margin early event detectors. In: CVPR (2012)
20. Bellman, R.: A Markovian decision process. Journal of Mathematics and Mechanics 6(5), 679-684 (1957)
21. Ratliff, N., Bagnell, J., Zinkevich, M.: Maximum margin planning. In: ICML (2006)
22. Oh, S., Hoogs, A., Perera, A., Cuntoor, N., Chen, C., Lee, J., Mukherjee, S., Aggarwal, J., Lee, H., Davis, L., et al.: A large-scale benchmark dataset for event recognition in surveillance video. In: CVPR (2011)
23. Wang, S., Lu, H., Yang, F., Yang, M.H.: Superpixel tracking. In: ICCV (2011)