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Human Action Recognition Based on Body Segmentation Models
- Source :
- CBMI, 2021 International Conference on Content-Based Multimedia Indexing (CBMI), CBMI, Jun 2021, Lille, France. ⟨10.1109/CBMI50038.2021.9461874⟩
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- International audience; 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.
- Subjects :
- ambient assisted living
Computer science
business.industry
Search engine indexing
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Process (computing)
[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Machine learning
computer.software_genre
smart surveillance
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Actions recognition
ComputingMethodologies_PATTERNRECOGNITION
Task analysis
Action recognition
Segmentation
Artificial intelligence
State (computer science)
business
computer
Assisted living
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2021 International Conference on Content-Based Multimedia Indexing (CBMI)
- Accession number :
- edsair.doi.dedup.....288a6d742612aeee24e38f8472cae025
- Full Text :
- https://doi.org/10.1109/cbmi50038.2021.9461874