Abstract
In recent years, there has been increased interest in characterizing and extracting 3D information from 2D images for human tracking and identification. In this paper, we propose a single view-based framework for robust estimation of height and position. In the proposed method, 2D features of target object is back-projected into the 3D scene space where its coordinate system is given by a rectangular marker. Then the position and the height are estimated in the 3D space. In addition, geometric error caused by inaccurate projective mapping is corrected by using geometric constraints provided by the marker. The accuracy and the robustness of our technique are verified on the experimental results of several real video sequences from outdoor environments.
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Leibowitz, D., Criminisi, A., Zisserman, A.: Creating Architectural Models from Images. In: Eurograpihcs 1999. 20th Annual Conference of the European Association for Computer Graphics, Mailand, Italy, vol. 18, pp. 39–50 (1999)
Criminisi, A., Reid, I., Zisserman, A.: Single View Metrology. International Journal of Computer Vision 40, 123–148 (2000)
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge Univ. Press, Cambridge (2003)
Faugeras, O.: Three-Dimensional Computer Vision. The MIT Press, Cambridge (1993)
Criminisi, A.: Accurate Visual Metrology from Single and Multiple uncalibrated Images. Springer, London (2001)
Golub, G., Loan, C.: Matrix Computations, 3rd edn. Johns Hopkins Univ. Press, Baltimore (1996)
Zhang, Z.: Flexible New Technique for Camera Calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 19, 1330–1334 (2000)
Hartley, R., Kang, S.: Parameter-free Radial Distortion Correction with Center of Distortion Estimation. In: Nicu, S., Michael S.L., Thomas S.H. (eds.): Proceedings of the Tenth IEEE International Conference on Computer Vision, ICCV 2005, Beijing, China, vol. 2, pp. 1834 – 1841 (2005)
Elgammel, A., Harwood, D., Davis, L.: Non-parametric model for back ground subtraction. In: Vernon, D. (ed.) ECCV 2000. LNCS, vol. 1842, pp. 751–767. Springer, Heidelberg (2000)
BenAbdelkader, R., Cutler, D.L.: Person Identification using Automatic Height and Stride Estimation: In Anders, H. In: Anders, H., Gunnar, S., Mads, N., Peter, J. (eds.) ECCV 2002. LNCS, vol. 2350, pp. 155–158. Springer, Heidelberg (2002)
Havasi, L., Szlák, Z., Szirányi, T.: Detection of Gait Characteristics for Scene Registration in Video Surveillance System. IEEE Transactions on Image Processing 16, 503–510 (2007)
Liu, Z., Sarkar, S.: Improved Gait Recognition by Gait Dynamics Normalization. IEEE Transactions on Pattern Analysis and Machine Intelligence 28, 863–876 (2006)
Lee, L., Romano, R., Stein, G.: Monitoring Activities from Multiple Video Streams: Establishing a Common Coordinate Frame. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 758–769 (2000)
Hu, W., Hu, M., Zhou, X., Tan, T., Lou, J., Maybank, S.: Principal Axis-Based Correspondence between Multiple Cameras for People Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 28, 663–671 (2000)
Kim, K., Davis, L.: Multi-camera Tracking and Segmentation of Occluded People on Ground Plane Using Search-Guided Particle Filtering. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 98–109. Springer, Heidelberg (2006)
Khan, S., Shah, M.: A Multiple View Approach to Tracking People in Crowded Scenes Using a Planar Homography Constraint. In: Ales, L., Horst, B., Axel, P. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 133–146. Springer, Heidelberg (2006)
Khan, S., Shah, M.: Consistent Labeling of Tracked Objects in Multiple Cameras with Overlapping Fields of View. IEEE Transactions on Pattern Analysis and Machine Intelligence 25, 1355–1361 (2003)
Hu, W., Tan, T., Wang, L., Maybank, S.: A Survey on Visual Surveillance of Object Motion and Behaviors. IEEE Transactions on Pattern Analysis and Machine Intelligence 34, 334–353 (2004)
Haritaoglu, I., Harwood, D., Davis, L.: W4: Real-time Surveillance of People. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 809–830 (2000)
Mckenna, S., Jabri, S., Duric, J., Wechsler, H., Rosenfeld, A.: Tracking Groups of People. Computer Vision and Image Understanding 80, 42–56 (2000)
Gomez, J., Simon, G., Berger, M.: Calibration Errors in Augmented Reality: a Practical Study. In: ISMAR 2005. Fourth IEEE and ACM international Symposium on Mixed and Augmented Reality, Vienna, Austria, pp. 154–163 (2005)
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Lee, SH., Choi, JS. (2007). A Single-View Based Framework for Robust Estimation of Height and Position of Moving People. In: Mery, D., Rueda, L. (eds) Advances in Image and Video Technology. PSIVT 2007. Lecture Notes in Computer Science, vol 4872. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77129-6_49
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DOI: https://doi.org/10.1007/978-3-540-77129-6_49
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