Work

From Categories to Individuals in Real Time -- A Unified Boosting Approach

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.2014.30

Authors: David Hall, Pietro Perona

Institution: California Institute of Technology

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Aeronautics and Space Administration, Multidisciplinary University Research Initiative, Office of Naval Research, Army Research Office

OpenAlex ID: W2083705170

FWCI: 0.717

Cites: 45

Cited by: 5

Related to: 10