One Hand Tracking Algorithm Based on Behavioral Model of Grasping Object and Particle Filter

Abstract:

A novel human hand tracking algorithm based on a single-view camera is put forward. First, we remove the deformity gesture before tracking employing hand physical constraint and motion constraint. Second, we get data from digital glove in the process of hand grasping object, then we obtain the polynomial law of joint motion by analyzing the data to reduce the dimension. Finally, we fuse the behavioral model and optimized particle filter to improve the result of tracking. The innovation of this paper is to establish the behavioral model of grasping object. The experiments show that the proposed algorithm can track movement of hand accurately and quickly.

• Periodical: Applied Mechanics and Materials (Volumes 462-463)
• Pages: 230-236
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.462-463.230
• Online since: November 2013
• Authors: Jian Gao, Zhi Quan Feng, Xian Hui Song
• Keywords: Grasping, Joint, Motion Constraint, Particle Filter (PF), Polynomial Law

References

[1] Christoph W Borst, Arun P Indugula: Realistic Virtual Grasping, Proceedings Virtual Reality Conference, IEEE 2005: 91-98.

DOI: 10.1109/vr.2005.65

[2] Isidoro J., Sclaroff S.: Stochastic Mesh-based Multi-view Reconstruction. Proceedings of the 1st International Symposium on 3D Data Processing Visualization and Transmission (3DPVT 2002), Padova, Italy, 2002: 568~577.

DOI: 10.1109/tdpvt.2002.1024120

[3] Utsumi A., Ohya J.: Multiple-hand-gesture Tracking Using Multiple Cameras. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'99, Piscataway, New Jersey, 1999: 1473~1478.

DOI: 10.1109/cvpr.1999.786980

[4] Xiaoping Liu, Wei Xu: Posture Analysis Based on Constrains. Journal of Engineering Graphics, 2009, 3: 65-70.

[5] Xhiquan Feng: Study on Moving Human Hand. Ph.D. graduate paper. 2006. 1-16.

[6] Robert Y. Wang, Jovan Popović: Real-time Hand Tracking With a Color Glove. ACM Transactions on Graphics (SIGGRAPH 2009), 2009, 28(3): 1-8.

DOI: 10.1145/1576246.1531369

[7] S.U. Lee and I. Cohen: 3-D Hand Reconstruction From Monocular View. International Conference on Pattern Recognition. Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04). Cambridge, UK, 2004, 3: 310-313.

DOI: 10.1109/icpr.2004.1334529

[8] Hong Chang, Yongtian Wang: Vision Based Posture Tracking. Journal of Beijing Institute of Technology. 1999, 19(6): 739-743.

[9] Teng Huang, Ke Wang: Posture Tracking Based on 3D Model in Augmented Reality. Journal of Microcomputer Application, 2005, 26(1): 70-73.

[10] Qinghua Yang, Libin Yuan, Jian Ruan: Study on Moving Laws of Human Finger Joints in Grasping Course. Journal of Chinese Mechanical Engineering. 2004, 15(13): 1154-1157.

[11] Haoxuan Tang, Bingrong Hong, Wei Liu: Kinematics Simulation of Human Hand and Control Method Research. High Technology Reports. 2001, (10): 61-65.

[12] Yili Fu, Cheng Liu: Human Hand Modeling with Physiology Constrains in Grasping Actions. Computer Compositive Manufacture System. 2009, 15(4): 681-684.

[13] Qiming Li, Yimin Chen, Yunhua Zhang, Yan Liu, Dongyang Zhao: Grasp Gesture Recognition Based on Rough Sets Theory in AR System. International Journal of Digital Content Technology and its Applications. 2011, 5(1): 226-234.

DOI: 10.4156/jdcta.vol5.issue1.24

[14] Weiqun Li: Summary on Human Hand Gesture Tracking. Computer and Digital Engineering. 2010, 38(9): 79-182.

[15] Bin Huang: Video Object Tracing Based on PF. Master graduate paper. Signal and information processing institute, university of electronic science and technology. 2008. 1-10.

[16] Yuhua Lei. Application Research on PF Algorithm for Moving Objects. Master graduate paper. college of computer science and technology, Wuhan university of technology. 2009. 7-23.

[17] Yijun Lu, Yimin Chen, Shihua Huang: Human Hand Tracking Based on PF and Optimized Level Set. Journal of Computer Engineering. 2010, 36(13): 159-161.

[18] Zhiquan Feng, Minming Zhang, Zhigen Pan, Yi Li: 3D-Freehand-Pose Initialization Based on Operator's Cognitive Behavior Models. The Visual Computer. 2010, 26(6-8): 607-617.

DOI: 10.1007/s00371-010-0452-z