Nov 17, 2018 · This paper proposes a new action recognition approach using multi-directional projected depth motion map based motion descriptors. First, for ...
This paper proposes a new action recognition approach using multi-directional projected depth motion map based motion descriptors. First, for the input depth ...
This paper proposes a new action recognition approach using multi-directional projected depth motion map based motion descriptors. First, for the input depth ...
[PDF] Recognizing actions using depth motion maps-based ...
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This paper presents a novel human action recognition method by using depth maps, which applies support vector machine (SVM) to classify the proposed ...
Oct 22, 2024 · The main purpose of this paper is to present an effective method for human action recognition from depth images. A multilevel frame select ...
Multi-view dynamic image is proposed to capture 3D motion characteristics of action. · A novel CNN model is proposed to leverage performance. · An action proposal ...
This paper presents an effective local spatio- temporal descriptor for action recognition from depth video sequences. The unique property of our.
Missing: directional | Show results with:directional
Dec 27, 2018 · In [48], the concept of depth motion map (DMM) is proposed to compress the depth video into a single image by intuitively aggregating the video ...
This paper presents a human action recognition method by using depth motion maps. Each depth frame in a depth video sequence is projected onto three ...
A real-time framework for human action recognition by Microsoft sensor for Windows that detects human skeleton joints and extracts human from the depth map ...