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首页> 外文会议>International conference on advanced concepts for intelligent vision systems >Body Related Occupancy Maps for Human Action Recognition
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Body Related Occupancy Maps for Human Action Recognition

机译：人体相关的占用地图，用于人类动作识别

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摘要

This paper introduces a novel spatial feature for human action recognition and analysis. The positions and orientations of body joints relative to a reference point are used to build an occupancy map of the 3D space that was occupied during the action execution. The joint data is acquired with the Microsoft Kinect v2 sensor and undergoes a pose invariant normalization process to eliminate body differences between different persons. The body related occupancy map (BROM) and its 2D views are used as feature input for a random forest classifier. The approach is tested on a self-captured database of 23 human actions for game-play. On this database a classification with an F1-score of 0.84 is achieved for the front view of the BROM from the complete skeleton.
机译：本文介绍了一种用于人类动作识别和分析的新颖空间特征。人体关节相对于参考点的位置和方向用于构建在动作执行过程中占用的3D空间的占用图。关节数据是使用Microsoft Kinect v2传感器获取的，并且经过姿势不变的归一化过程以消除不同人之间的身体差异。与身体相关的占用图（BROM）及其2D视图用作随机森林分类器的特征输入。该方法已在23个人类动作的自捕获数据库中进行了测试。在该数据库上，从完整的骨骼来看，BROM的正视图实现了F1分数为0.84的分类。

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