Coupled hidden conditional random fields for RGB D human action recognition

Human action recognition based on latent-dynamic Conditional Random Field

Conditional random fields in machine learning.

最新的(将于2014年发表在SCI期刊上)基于 RGB-D devices的人体行为识别联合新选择。 介绍 RGB-D带来的新机遇,给human action recognition研究带来了新机会。

很好的马尔科夫模型行为识别的论文，是该领域的权威之作

Often we wish to predict a large number of variables that depend on each other as well as on other o

Describing Trajectory of Surface Patch for Human Action Recognition on RGB and Depth Videos

Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF mo

Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chin

Weintroducenew,fine-grainedactionandemotionrecognitiontasksdefinedonnon-stagedvideos,recordedduringr

Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition