位置：成果数据库 > 期刊 > 期刊详情页
Discovering Latent Attributes for Human Action Recognition in Depth Sequence
  • ISSN号：0013-5194
  • 期刊名称：Electronics Letters
  • 时间：2014.1
  • 页码：1436-1438
  • 相关项目：稀疏化、结构化和判别性约束的多视角行为识别方法研究
作者： Yuting Su, Pingping Jia, Anan Liu|
同期刊论文项目
稀疏化、结构化和判别性约束的多视角行为识别方法研究
期刊论文 42 会议论文 8
同项目期刊论文
一种鲁棒的基于深度数据的行为识别算法
Nonnegative Mixed-Norm Convex Optimization for Mitotic Cell Detection in Phase Contrast Microscopy
Coupled Hidden Conditional Random Fields for RGB-D Human Action Recognition
Human Behavior Recognition Based on Axonometric Projections and PHOG Feature
基于Kinect和金字塔特征的行为识别算法
基于深度数据和RGB图像的行为识别算法
基于层级化匹配的视图变形算法
基于运动轨迹的视频语义事件建模方法
一种层级化的人眼检测方法
一种基于双重分割的立体匹配算法
基于多时空特征的人体动作识别算法
Multi-View Discriminative and Structure Dictionary Learning with Group Sparsity for Human Action Rec
Multipe/Single-View Human Action Recognition via Part-induced Multi-task Structural Learning
Cross-domain Semantic Transfer from Large Scale Social Media
Geo-location Driven Image Tagging via Cross-domain Learning
Multi-view discriminative and structured dictionary learning with group sparsity for human action re
基于深度稠密时空兴趣点的人体动作描述算法
Evaluation of localspatial–temporal features for cross-view action recognition
Multipe/single-view human action recognition via part-induced multitask structural learning.
Single/Cross-Camera Multiple-Person Tracking by Graph Matching
Human Behavior Recognition Using Structured and Discriminative Sparse Representation
Multi-perspective and multi-modality joint representation and recognition model for 3D action recogn
Single/multi-view human action recognition via regularized multi-task learning
Human action recognition via multi-modality information
Human Action Recognition On Depth dataset
基于结构化约束的多视角人体检测方法
基于深度信息和RGB图像的行为识别算法
基于深度运动轨迹信息的人体动作描述算法
基于分级判断的行人检测