%0 Conference Paper %1 almeida2018aplicao %A Almeida, Antonio %A Borges, Carlos %A Paula, Iális %B Anais da IV Escola Regional de Informática do Piauí %C Porto Alegre, Rio Grande do Sul, Brasil %D 2018 %I Sociedade Brasileira de Computação (SBC) %K brazilian-sign-language brazilian-sign-language-recognition bsl bslr hog libras real sign-language-recognition slr %P 119-124 %T Aplicação do descritor HOG e classificador SVM no reconhecimento de poses humanas em imagens de profundidade %U https://sol.sbc.org.br/index.php/eripi/article/view/5154 %X Automatic gesture and pose recognition by machine learning is a significant challenge. This work proposes a simple method for human pose re-cognition using exclusively depth images. The method consists in background removal, feature extraction via histograms of oriented gradients (HOG) and classification through support vector machines (SVM). The method is validated in a test with five human poses, in which a 95.6% success rate is obtained

@inproceedings{almeida2018aplicao, abstract = {Automatic gesture and pose recognition by machine learning is a significant challenge. This work proposes a simple method for human pose re-cognition using exclusively depth images. The method consists in background removal, feature extraction via histograms of oriented gradients (HOG) and classification through support vector machines (SVM). The method is validated in a test with five human poses, in which a 95.6% success rate is obtained}, added-at = {2019-08-19T00:14:13.000+0200}, address = {Porto Alegre, Rio Grande do Sul, Brasil}, author = {Almeida, Antonio and Borges, Carlos and Paula, Iális}, biburl = {https://www.bibsonomy.org/bibtex/2a4510cf62235e0461588a5882283acaf/jpmor}, booktitle = {Anais da IV Escola Regional de Informática do Piauí}, interhash = {ceb491e44fe08cefa425f12ea0e26c1a}, intrahash = {a4510cf62235e0461588a5882283acaf}, keywords = {brazilian-sign-language brazilian-sign-language-recognition bsl bslr hog libras real sign-language-recognition slr}, language = {Portuguese}, location = {Teresina}, pages = {119-124}, publisher = {Sociedade Brasileira de Computação (SBC)}, school = {Universidade Federal do Ceará (UFC)}, timestamp = {2020-10-07T13:36:50.000+0200}, title = {Aplicação do descritor HOG e classificador SVM no reconhecimento de poses humanas em imagens de profundidade}, url = {https://sol.sbc.org.br/index.php/eripi/article/view/5154}, year = 2018 }