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:
主要作者: | Tan, Yi Ping |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2018
|
主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/79551/1/TanYiPingMFKE2018.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Finger Vein Recognition Using Pattern Map As Feature Extraction
由: Teoh, Saw Beng
出版: (2012) -
Balanced weighted unified discriminant and distribution alignment for open-view human action recognition
由: Samsudin, Mohd. Shah Rizal
出版: (2022) -
Hand gesture recognition for human-robot interaction
由: Tan, Ann Nie
出版: (2020) -
Wavelet and moment invariants based features selection using voronoi diagram for face recognition
由: Meethongjan, Kittikhun
出版: (2013) -
N-gram feature extraction and Naïve Bayes classifier for malware detection using FPGA implementation
由: Lee, Ming Yi
出版: (2022)