Browse > Article
http://dx.doi.org/10.5302/J.ICROS.2008.14.8.848

Multiple Camera-Based Correspondence of Ground Foot for Human Motion Tracking  

Seo, Dong-Wook (울산대학교 전기전자정보시스템공학과)
Chae, Hyun-Uk (울산대학교 전기전자정보시스템공학과)
Jo, Kang-Hyun (울산대학교 전기전자정보시스템공학과)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.14, no.8, 2008 , pp. 848-855 More about this Journal
Abstract
In this paper, we describe correspondence among multiple images taken by multiple cameras. The correspondence among multiple views is an interesting problem which often appears in the application like visual surveillance or gesture recognition system. We use the principal axis and the ground plane homography to estimate foot of human. The principal axis belongs to the subtracted silhouette-based region of human using subtraction of the predetermined multiple background models with current image which includes moving person. For the calculation of the ground plane homography, we use landmarks on the ground plane in 3D space. Thus the ground plane homography means the relation of two common points in different views. In the normal human being, the foot of human has an exactly same position in the 3D space and we represent it to the intersection in this paper. The intersection occurs when the principal axis in an image crosses to the transformed ground plane from other image. However the positions of the intersection are different depend on camera views. Therefore we construct the correspondence that means the relationship between the intersection in current image and the transformed intersection from other image by homography. Those correspondences should confirm within a short distance measuring in the top viewed plane. Thus, we track a person by these corresponding points on the ground plane. Experimental result shows the accuracy of the proposed algorithm has almost 90% of detecting person for tracking based on correspondence of intersections.
Keywords
multi-camera calibration; correspondence among multiple cameras; multiple background models; homography; Kalman filter;
Citations & Related Records

Times Cited By SCOPUS : 3
연도 인용수 순위
  • Reference
1 M. Xiao, C. Han, and X. Kang, 'A Background Reconstruction for Dynamic Scenes,' Int'l Conf. on Information Fusion, pp 1-7, 2006
2 T. Kim and K.-H. Jo, 'Robust Background Acquisition from Dynamic Scene caused by a Moving Camera,' ICIA 2007, Jul. 2007
3 A. Utsumi, H. Mori, J. Ohya, and M. Yachida, 'Multiple Human Tacking using Multiple Cameras,' Proc. IEEE Int'l Conf. Automatic Face and Gesture Recognition, pp. 498-503, Apr. 1998
4 P. Kelly, A. Katkee, D. Kuramura, S. Moezzi, S. Chatterjee, and R. Jain, 'An Architecture for Multiple Perspective Interactive Video,' Proc. ACM Multimedia, pp. 201-212, Nov. 1995
5 A. Mittal and L. S. Davis, 'M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene using Region-Based Stereo,' Proc. European Conf. Computer Vision, pp. 18-36, May 2002
6 J. Orwell, P. Remagnino, and G.. A. Jones, 'Multiple Camera Color Tacking,' Proc. IEEE Int'l Workshop Visual Surveillance, pp. 14-24, 1999
7 J. Krumm, S. Harris, B. Meyers, B. Brumitt, M. Hale, and S. Shafer, 'Multi-Camera Multi-Person Tracking for EasyKiving,' Proc. IEEE Int'l Workshop Visual Surveillance, pp. 3-10, July 2000
8 S. Khan and M. Shah, 'Consistent Labeling of Tracked Objects in Multiple Cameras with Overlapping Fields of View,' IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 25, no. 10, pp. 1355-1360, Oct. 2003   DOI   ScienceOn
9 Y.-H. Yoon, 'The Korean Sign Language Recognition System using the Hidden Markov Models and Moment Invariants,' University of Ulsan, 2003
10 G., Welch and G. Bishop, 'An Introduction to the Kalman Filter,' SIGGRAPH 2001, Aug. 2001
11 S. Khan, O. Javed and M. Shah, 'Tracking in Uncalibrated Cameras with Overlapping Field of View,' Proc. IEEE Int'lWorkshop Performance Evaluation of Tracking and Surveillance, pp. 84-91, Dec. 2001