Abstract
We describe a real-time stereo camera system for tracking a human hand from a sequence of images and measuring the three dimensional trajectories of the hand movement. We incorporate three kinds of constraints into our tracking technique to put restrictions on the search area of targets and their relative positions in each image. The restrictions on the search area are imposed by continuity of the hand locations, use of skin color segmentation, and epipolar constraint between two views. Thus, we can reduce the computational complexity and obtain accurate three-dimensional trajectories. This paper presents a stereo tracking technique and experimental results to show the performance of the proposed method.
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Vladimir I. Pavlovic, Rajeev Sharma and Thomas S. Huang, “Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 677–695, 1997.
D. M. Gavrila, “The Visual Analysis of Human Movement: A Survey,” Computer Vision and Image Understanding, vol. 73, no. 1, pp. 82–98, 1999.
James J. Kuch, Thomas S. Huang, “Virtual Gun: A Vision Based Human Computer Interface Using the Human Hand,” IAPR Workshop on Machine Vision Application, pp. 196–199, 1994.
Ross Cutler, Matthew Turk, “View-based Imterpretation of Real-time Optical Flow for Gesture Recognition,” Proc. 3rd International Conference on Automatic Face and Gesture Recognition, pp. 416–421, 1998.
Takio Kurita, Satoru Hayamizu, “Gesture Recognition using HLAC Features of PARCOR Images and HMM based recognizer,” Proc. 3rd International Conference on Automatic Face and Gesture Recognition, pp. 422–427, 1998.
Takahiro Watanabe and Masahiko Yachida, “Real Time Gesture Recognition Using Eigenspace from Multi Input Image Sequences,” Proc. 3rd IEEE International Conference on Automatic Face and Gesture Recognition, pp. 428–433, 1998.
Kazuyuki Imagawa, Shan Lu and Seiji Igi, “Color-Based Hands Tracking System for Sign Language Recognition,” Proc. 3rd International Conference on Automatic Face and Gesture Recognition, pp. 462–467, 1998.
Nobutaka Shimada, Kousuke Kimura, Yoshiaki Shirai and Yoshinori Kuno, “3-D Hand Posture Estimation by Indexing Monocular Silhouette Images,” Proc. 6th Korea-Japan Joint Workshop on Computer Vision, pp. 150–155, 2000.
Kiyofumi Abe, Hideo Saito and Shinji Ozawa, “3-D Drawing System via Hand Motion Recognition from Two Cameras,” Proc. 6th Korea-Japan Joint Workshop on Computer Vision, pp. 138–143, 2000.
Yusuf Azoz, Lalitha Devi, Rajeev Sharma, “Tracking Hand Dynamics in Unconstrained Environments,” Proc. 3rd International Conference on Automatic Face and Gesture Recognition, pp. 274–279, 1998.
Hyeon-Kyu Lee, Jin H. Kim, “An HMM-Based Threshold Model Approach for Gesture Recognition,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 21, no. 10, pp. 961–973, 1999.
Masanori Yamada, Kazuyuki Ebihara, Jun Ohya, “A New Robust Real-time Method for Extracting Human Silhouettes from Color Image,” Proc. 3rd International Conference on Automatic Face and Gesture Recognition, pp. 528–533, 1998.
Christopher Richard Wren, Ali Azarbayejani, Trevor Darrell, and Alex Paul Pentland, “Pfinder: Real-Time Tracking of the Human Body,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 780–785, 1997.
B. K. P. Horn, Robot Vision, MIT Press, 1986.
Douglas Chai, King N. Ngan, “Locating Facial Region of a Head-and-Shoulders Color Image,” Proc. 3rd International Conference on Automatic Face and Gesture Recognition, pp. 124–129, 1998.
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Inaguma, T., Oomura, K., Saji, H., Nakatani, H. (2000). Efficient Search Technique for Hand Gesture Tracking in Three Dimensions. In: Lee, SW., Bülthoff, H.H., Poggio, T. (eds) Biologically Motivated Computer Vision. BMCV 2000. Lecture Notes in Computer Science, vol 1811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45482-9_60
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DOI: https://doi.org/10.1007/3-540-45482-9_60
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