Work

Super Normal Vector for Activity Recognition Using Depth Sequences

Year: 2014

Type: conference-paper

Source: IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI: 10.1109/cvpr.2014.108

Authors: Xiaodong Yang, YingLi Tian

Institution: City University of New York

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Federal Highway Administration, Division of Emerging Frontiers in Research and Innovation

OpenAlex ID: W2091911422

FWCI: 25.48

Cites: 30

Cited by: 393

Related to: 10