Work

Super Normal Vector for Human Activity Recognition with Depth Cameras

Year: 2016

Type: article

Source: IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI: 10.1109/tpami.2016.2565479

Authors: Xiaodong Yang, YingLi Tian

Institutions: Nvidia (United States), 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: National Science Foundation, Division of Emerging Frontiers in Research and Innovation

Awards: EFRI-M3C: Mobility Skill Acquisition and Learning through Alternative and Multimodal Perception for Visually Impaired People, CHS: Medium: Collaborative Research: Immediate Feedback to Support Learning American Sign Language through Multisensory Recognition

OpenAlex ID: W2348797658

FWCI: 10.95

Cites: 59

Cited by: 165

Related to: 10