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Action recognition based on a bag of 3D points
This paper presents a method to recognize human actions from sequences of depth maps. Specifically, we employ an action graph to model explicitly the dynamics of the actions and a bag of 3D points toExpand
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Mining actionlet ensemble for action recognition with depth cameras
Human action recognition is an important yet challenging task. The recently developed commodity depth sensors open up new possibilities of dealing with this problem but also present some uniqueExpand
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HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences
We present a new descriptor for activity recognition from videos acquired by a depth sensor. Previous descriptors mostly compute shape and motion features independently, thus, they often fail toExpand
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Robust 3D Action Recognition with Random Occupancy Patterns
We study the problem of action recognition from depth sequences captured by depth cameras, where noise and occlusion are common problems because they are captured with a single commodity camera. InExpand
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Learning Actionlet Ensemble for 3D Human Action Recognition
Human action recognition is an important yet challenging task. Human actions usually involve human-object interactions, highly articulated motions, high intra-class variations, and complicatedExpand
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Cross-dataset action detection
In recent years, many research works have been carried out to recognize human actions from video clips. To learn an effective action classifier, most of the previous approaches rely on enoughExpand
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Discriminative subvolume search for efficient action detection
Actions are spatio-temporal patterns which can be characterized by collections of spatio-temporal invariant features. Detection of actions is to find the re-occurrences (e.g. through patternExpand
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Ensembl Genomes 2018: an integrated omics infrastructure for non-vertebrate species
Abstract Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species, complementing the resources for vertebrate genomics developed inExpand
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Discriminative Video Pattern Search for Efficient Action Detection
Actions are spatiotemporal patterns. Similar to the sliding window-based object detection, action detection finds the reoccurrences of such spatiotemporal patterns through pattern matching, byExpand
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Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction
This paper presents a novel visual representation, called orderlets, for real-time human action recognition with depth sensors. An orderlet is a middle level feature that captures the ordinal patternExpand
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