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• W2077366987 abstract "In this paper, a linear discriminant analysis (LDA) based classifier employed in a tree structure is presented torecognize the human actions in a wide and complex environment. In particular, the proposed classifier is basedon a supervised learning process and achieves the required classification in a multi-step process. This multi-stepprocess is performed simply by adopting a tree structured which is built during the training phase. Hence, thereis no need of any priori information like in other classifiers such as the number of hidden neurons or hiddenlayers in a multilayer neural network based classifier or an exhaustive search as used in training algorithmsfor decision trees. A skeleton based strategy is adopted to extract the features from a given video sequencerepresenting any human action. A Pan-Tilt-Zoom (PTZ) camera is used to monitor the wide and complex testenvironment. A background mosaic image is built offline and used to compute the background images in realtime. A background subtraction strategy has been adopted for detecting the object in various frames and toextract their corresponding silhouette. A skeleton based process is used to extract attributes of a feature vectorcorresponding to a human action. Finally, the proposed framework is tested on various indoor and outdoorscenarios and encouraging results are achieved in terms of classification accuracy." @default.
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• W2077366987 date "2011-02-10" @default.
• W2077366987 modified "2023-09-23" @default.
• W2077366987 title "Human action recognition in a wide and complex environment" @default.
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• W2077366987 doi "https://doi.org/10.1117/12.872316" @default.
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