Work

Human Action Recognition Based on Body Segmentation Models

Year: 2021

Type: conference-paper

Abstract: Human action recognition in videos is an important issue in computer vision. We propose an approach based on the integration of partial or global human body segmentation in the classification process to deal with partial movements and immobility. Experimentation on UCF101 public dataset output competitive recognition accuracy related state of the art.

Source: International Workshop on Content-Based Multimedia Indexing (CBMI)

DOI: 10.1109/cbmi50038.2021.9461874

Authors: Catherine Huyghe, Nacim Ihaddadene, Thomas Haessle, Chabane Djeraba

Institutions: Université de Lille, Institut Supérieur de l'Électronique et du Numérique, JUNIA

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3174019366

FWCI: 0.154

Cites: 13

Cited by: 3

Related to: 10