By Chen C.-T.

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5, respectively. 3 Action Classification The final step in any recognition is to feed the features into a classifier, which is adopted one of the classification algorithms, for example, such as K-NearestNeighbor (KNN) [7, 8, 9], Support Vector Machine (SVM) [10, 11, 12, 13], Adaptive boosting (Adaboost) [33], Hidden Markov Model (HMM) [34, 35], Artificial Neural Network (ANN) [36, 37], etc. More information about some of these algorithms is explained in Sect. 6. Generally, the goal of all these algorithms is to classify extracted feature in testing video sample (testing mode) and identify its class membership or its closest neighbor based on features that conducted from training video samples (training mode).

No. of overlapping windows = (6 × 6), No. of bins = 12 No. of overlapping windows = (6 × 6), No. 924 No. of Overlapping windows = (2 × 6), No. of bins = 11 SVM Leave-one-video-out, K = 1, distance = euclidean, rule = nearest Leave-one-actor-out, 9-folds cross validation, K = 1, distance = cityblock, rule = nearest Leave-one-actor-out, 9-folds cross validation, classifier = multi-class, kernel = linear 2. 3. 849 In the first experiment, the KNN classifier is used to identify the action. 924 % of correct recognition rate, which is the best recognition rate achieved in both contour-based and silhouette-based feature types.

Also, the discussion of experimental results is located in Sect. 8. 2 Human Action Recognition: Contour-Based … 35 Fig. 12 Bounding boxes of contours for the ASI images used to extract contour-based features for 10 different human actions in Weizmann dataset: a bending, b jumping jack, c jumping forward, d jumping in place, e running, f gallop sideway, g skip jumping, h walking, i one hand waving, j two hands waving Fig. 13 Bounding boxes of the ASI images used to extract silhouette-based features for 10 different human actions in Weizmann dataset: a bending, b jumping jack, c jumping forward, d jumping in place, e running, f gallop sideway, g skip jumping, h walking, i one hand waving, j two hands waving 36 S.

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Analog And Digital Control System Design by Chen C.-T.


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