Optical flow based detection in mixed human robot environments

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

Volumn 5875 LNCS, Issue PART 1, 2009, Pages 223-232

  Figueira, Dario ^a   Moreno, Plinio ^a   Bernardino, Alexandre ^a   Gaspar, José ^a   Santos Victor, José ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN ROBOTS; IMAGE MOTION; OPTICAL FLOW COMPUTATION; REAL TIME PERFORMANCE; ROBOT ENVIRONMENT; SPATIAL DISPLACEMENT; SUB-SAMPLING; TEMPORAL CONSISTENCY; TEMPORAL SUPPORT;

COMPUTER SCIENCE; ROBOTS;

OPTICAL FLOWS;

EID: 72449142269     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10331-5_21     Document Type: Conference Paper

References (15)

1. Sanfeliu, A., Andrade-Cetto, J.: Ubiquitous networking robotics in urban settings. In: Workshop on Network Robot Systems. Toward Intelligent Robotic Systems Integrated with Environments. Proceedings of 2006 IEEE/RSJ International Conference on Intelligence Robots and Systems (IROS 2006) (October 2006)
2. De Leon, R.D., Sucar, L.: Human silhouette recognition with fourier descriptors. In: Proceedings of 15th International Conference on Pattern Recognition, 2000, vol. 3, pp. 709-712 (2000)
3. Wang, L., Tan, T., Ning, H., Hu, W.: Silhouette analysis-based gait recognition for human identification. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(12), 1505-1518 (2003)
4. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR 2005: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005) - Vol.1,Washington, DC, USA, pp. 886-893. IEEE Computer Society, Los Alamitos (2005)
5. Ramanan, D., Forsyth, D.A., Zisserman, A.: Tracking people by learning their appearance. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(1), 65-81 (2007)
6. Viola, P., Jones, M.J., Snow, D.: Detecting pedestrians using patterns of motion and appearance. International Journal of Computer Vision 63(2), 153-161 (2005)
7. Dalal, N., Triggs, B., Schmid, C.: Human detection using oriented histograms of flow and appearance. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 428-441. Springer, Heidelberg (2006)
8. Kaufmann, U., Mayer, G., Kraetzschmar, G., Palm, G.: Visual robot detection in robocup using neural networks. In: Nardi, D., Riedmiller, M., Sammut, C., Santos-Victor, J. (eds.) RoboCup 2004. LNCS (LNAI), vol. 3276, pp. 262-273. Springer, Heidelberg (2005)
9. Mayer, G., Kaufmann, U., Kraetzschmar, G., Palm, G.: Biomimetic Neural Learning for Intelligent Robots. Springer, Heidelberg (2005)
10. Lange, S., Riedmiller, M.: Appearance-based robot discrimination using eigenimages. In: Lakemeyer, G., Sklar, E., Sorrenti, D.G., Takahashi, T. (eds.) RoboCup 2006: Robot Soccer World Cup X. LNCS (LNAI), vol. 4434, pp. 499-506. Springer, Heidelberg (2006)
11. Friedman, J., Hastie, T., Tibshirani, R.: Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors). Annals of Statistics 28(2), 337-407 (2000)
12. Ribeiro, P.C., Moreno, P., Santos-Victor, J.: Boosting with temporal consistent learners: An application to human activity recognition. In: Proc. of 3rd International Symposium on Visual Computing, pp. 464-475 (2007)
13. Boult, T.E., Micheals, R.J., Gao, X., Eckmann, M.: Into the woods: Visual surveillance of noncooperative and camouflaged targets in complex outdoor settings. Proceedings of the IEEE 89(10), 1382-1402 (2001)
14. Ogale, A.S., Aloimonos, Y.: A roadmap to the integration of early visual modules. International Journal of Computer Vision 72(1), 9-25 (2007)
15. Torralba, A., Murphy, K., Freeman, W.: Sharing visual features for multiclass and multiview object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(5), 854-869 (2007)