Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Hand segmentation using learning-based prediction and verification for hand sign recognition
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Gesture recognition using the Perseus architecture
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Finding Pose of Hand in Video Images: A Stereo-Based Approach
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Object Localization by Bayesian Correlation
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Adaptive color segmentation-a comparison of neural and statistical methods
IEEE Transactions on Neural Networks
Hand posture recognition using real-time artificial evolution
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
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We suggest a novel attentional mechanism for detection of smooth convex and concave objects based on direct processing of intensity values. The operator detects the region of the forearm in images, enabling location of the hand. The operator is robust to variation in illumination, scale, pose, and hand orientation. This method uses the geometrical structure of the forearm, which is common to all people; therefore no limitation of the hand pose and no personal adjustments are required.