@inproceedings{839e3c14e5ce4357b7d8567a6b2d6989,
title = "Improved GLOH approach for one-shot learning human gesture recognition",
abstract = "A method is presented for One-Shot Learning Human Gesture Recognition. Shi-Tomasi corner detector and sparse optical flow are used to quickly detect and track robust key-points around motion patterns in scale space. Then Improved Gradient Location and Orientation Histogram feature descriptor is applied to capture the description of robust key interest point. All the extracted features from the training samples are clustered with the k-means algorithm to learn a visual codebook. Subsequently, simulation orthogonal matching pursuit is applied to achieve descriptor coding which map each feature into a certain visual codeword. K-NN classifier is used to recognizing the gesture. The proposed approach has been evaluated on ChaLearn gesture database.",
keywords = "Bag of features (BoF) model, Feature extraction, Gesture, Improved gradient location and orientation histogram (IGLOH), K-means algorithms",
author = "Karn, \{Nabin Kumar\} and Feng Jiang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 11th Chinese Conference on Biometric Recognition, CCBR 2016 ; Conference date: 14-10-2016 Through 16-10-2016",
year = "2016",
doi = "10.1007/978-3-319-46654-5\_49",
language = "英语",
isbn = "9783319466538",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "441--452",
editor = "Shiguang Shan and Zhisheng You and Jie Zhou and Weishi Zheng and Yunhong Wang and Zhenan Sun and Jianjiang Feng and Qijun Zhao",
booktitle = "Biometric Recognition - 11th Chinese Conference, CCBR 2016, Proceedings",
address = "德国",
}