Feature extraction for human action recognition based on saliency map
Human Action Recognition (HAR) plays an important role in computer vision for the interaction between human and environments which has been widely used in many applications. The focus of the research in recent years is the reliability of the feature extraction to achieve high performance with the us...
Saved in:
Main Author: | Tan, Yi Ping |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/79551/1/TanYiPingMFKE2018.pdf http://eprints.utm.my/id/eprint/79551/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Similar Items
-
Cascading pose features with CNN-LSTM for multiview human action recognition
by: Rehman Malik, Najeeb, et al.
Published: (2023) -
Advances in human action recognition: an updated survey
by: Abu Bakar, Syed A. R.
Published: (2019) -
Finger Vein Recognition Using Pattern Map As Feature Extraction
by: Teoh, Saw Beng
Published: (2012) -
A hybrid Chebyshev-ICA image fusion method based on regional saliency
by: Omar, Z., et al.
Published: (2017) -
An improved open-view human action recognition with unsupervised domain adaptation
by: Samsudin, M. S. Rizal, et al.
Published: (2022)