Visually Interactive Hand Tracking Algorithm Combined with Infrared Depth Information

Sun Jin; Ding Yonghui; Zhou Lai

doi:10.3788/aos201737.0115002

[1] Oikonomidis I, Kyriazis N, Argyros A. Full DOF tracking of a hand interacting with an object by modeling occlusions and physical constraints［C］. IEEE International Conference on Computer Vision, 2011: 2088-2095.

[2] Qian C, Sun X, Wei Y, et al. Realtime and robust hand tracking from depth［C］. IEEE Conference on Computer Vision and Pattern Recognition, 2014: 1106-1113.

[3] Sridhar S, Mueller F, Oulasvirta A, et al. Fast and robust hand tracking using detection-guided optimization［C］. Computer Vision & Pattern Recognition, 2015: 3213-3221.

[4] Liu Y, Zhang L F, Zhang S J. A hand gesture recognition method based on multi-feature fusion and template matching［J］. Procedia Engineering, 2012, 29(4): 1678-1684.

[5] Yang Bo, Song Xiaona, Feng Zhiquan, et al. Gesture recognition in complex background based on distribution features of hand［J］. Journal of Computer-Aided Design & Graphics, 2010, 22(10): 1841-1848.

[6] Priyal S P, Bora P K. A robust static hand gesture recognition system using geometry based normalizations and Krawtchouk moments［J］. Pattern Recognition, 2013, 46(8): 2202-2219.

[7] Doliotis P, Stefan A, McMurrough C, et al. Comparing gesture recognition accuracy using color and depth information［C］. Proceedings of the 4th International Conference on PEervasive Technologies Related to Assistive Environments, 2011: 20.

[8] Sridhar S, Oulasvirta A, Theobalt C. Interactive markerless articulated hand motion tracking using RGB and depth data［C］. IEEE International Conference on Computer Vision, 2013: 2456-2463.

[9] Tzionas D, Srikantha A, Aponte P, et al. Capturing hand motion with an RGB-D sensor, fusing a generative model with salient points［C］. German Conference on Pattern Recognition, 2014: 277-289.

[10] Xu C, Cheng L. Efficient hand pose estimation from a single depth image［C］. IEEE International Conference on Computer Vision, 2013: 3456-3462.

[11] Park S, Yu S, Kim J, et al. 3D hand tracking using Kalman filter in depth space［J］. Journal on Advances in Signal Processing, 2012(1): 1-18.

[12] Chen C P, Chen Y T, Lee P H, et al. Real-time hand tracking on depth images［C］. Visual Communications and Image Processing, 2011: 1-4.

[13] Qi Y Q, Kazumasa S, Wu H Y, et al. EK-means tracker: A pixel-wise tracking algorithm using kinect［C］. Third Chinese Conference on Intelligent Visual Surveillance, 2011: 77-80.

[14] Zhang Yueqiang, Su Ang, Liu Haibo, et al. Three dimensional rigid objects pose tracking and optimization based on multilevel line representation and M-estimation［J］. Acta Optica Sinica, 2015, 35(1): 0115003.

[15] Yu Y, Zheng X. Particle filter with ant colony optimization for frequency offset estimation in OFDM systems with unknown noise distribution［J］. Signal Processing, 2011, 91(5): 1339-1342.

[16] Park S, Hwang J P, Kim E, et al. A new evolutionary particle filter for the prevention of sample impoverishment［J］. IEEE Transactions on Evolutionary Computation, 2009, 13(4): 801-809.

[17] Song Yu, Li Qingling, Kang Yifei, et al. SLAM with square-root cubature Rao-Blackwillised particle filter［J］. Acta Automatica Sinica. 2014, 40(2): 357-367.

[18] Tian Mengchu, Bo Yuming, Chen Zhimin, et al. Firefly algorithm intelligence optimized particle filter［J］. Acta Automatica Sinica, 2016, 42(1): 89-97.

[19] Hu Shiqiang, Jing Zhongliang. The theory and application of particle filter［M］. Beijing: Science Press, 2010: 21-27.

[20] Jia Jingping, Xia Hong, Xie Ping. Visual tracking by scale space particle filter with multiple reference color histograms［J］. Systems Engineering and Electronics, 2015, 37(5): 1206-1212.

[21] Karaboga D. An idea based on honey bee swarm for numerical optimization［R］. Technical Report TR06, Erciyes University, 2005.

[22] Zhang Huanlong, Hu Shiqiang, Yang Guosheng. Video object tracking based on appearance models learning［J］. Journal of Computer Research and Development, 2015, 52(1): 177-190.

[23] Li Peihua. A novel color based particle filter algorithm for object tracking［J］. Chinese Journal of Computers, 2009, 32(12): 2455-2463.

[24] Mittal A, Zisserman A, Torr P. Hand detection using multiple proposals［C］. British Machine Vision Conference, 2011, 75.1-75.11.

[25] Suk H I, Sin B K, Lee S W. Hand gesture recognition based on dynamic Bayesian network framework［J］. Pattern Recognition, 2010, 43(9): 3059-3072.

[26] Suksil T, Chalidabhongse T H. Hand detection and feature extraction for static Thai Sign Language recognition［C］. Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, 2013: 23.

[27] Ong E J, Bowden R. A boosted classifier tree for hand shape detection［C］. 6th IEEE International Conference on Automatic Face and Gesture Recognition, 2004: 889-894.

[28] Viola P, Jones M. Rapid object detection using a boosted cascade of simple features［C］. Computer Vision and Pattern Recognition, 2001: 511-518.

[29] Niu Changfeng, Chen Dengfeng, Liu Yushu. Tacking object based on SIFT features and particle filter［J］. Robot, 2010, 32(2): 241-247.

[30] Zheng Yongbin, Huang Xinsheng, Feng Songjiang. An image matching algorithm based on combination of SIFT and the rotation invariant LBP［J］. Journal of Computer-Aided Design & Computer Graphics, 2010, 22(2): 286-292.

[31] Rathi Y, Vaswani N, Tannenbaum A, et al. Tracking deforming objects using particle filtering for geometric active contours［J］. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2007, 29(8): 1470-1475.

[32] Chang C C, Chen J J, Tai W K, et al. New approach for static gesture recognition［J］. Journal of Information Science & Engineering, 2006, 22(5): 1047-1057.

[33] Liu Y, Gan Z, Sun Y. Static hand gesture recognition and its application based on support vector machines［C］. ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008: 517-521.

[34] Zhang D S. Image retrieval based on shape［D］. Australia: Monash University, 2002.

[35] Dalal N, Triggs B. Histograms of oriented gradients for human detection［C］. IEEEConference on Computer Vision & Pattern Recognition, 2005: 886-893.

[36] Papageorgiou C, Poggio T. A trainable system for object detection［J］. International Journal of Computer Vision, 2000, 38(1): 15-33.

[37] Zhou Lai. Research of visual interaction for virtual reality flight training［D］. Nanjing: Nanjing University of Aeronautics and Astronautics, 2012.

[38] Sun Jin, Gu Hongbin, Hou Jianbo. Airplane wingtip tracking algorithm based on oriented gradient local binary pattern［J］. Acta Aeronautica et Astronautica Sinica, 2011, 32(11): 2062-2072.

[39] Sun Jin, Gu Hongbin, Zheng Jiping. A gradient direction based moving object detection［J］. Journal of Image and Graphics, 2008, 13(3): 571-579.

[40] Ojala T, Pietikainen M, Maenpaa T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns［J］. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2002, 24(7): 971-987.