A novel hierarchical Bag-of-Words model for compact action representation
Bag-of-Words (BOW) histogram of local space-time features is very popular for action representation due to its high compactness and robustness. However, its discriminant ability is limited since it only depends on the occurrence statistics of local features. Alternative models such as Vector of Loca...
Saved in:
Main Authors: | SUN, Qianru, Qianru, LIU, Hong, MA, Liqian, ZHANG, Tianwei |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2016
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/4452 https://ink.library.smu.edu.sg/context/sis_research/article/5455/viewcontent/nero.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
A compact representation of human actions by sliding coordinate coding
by: Ding, Runwei, et al.
Published: (2018) -
Human action classification based on sequential bag-of-words model
by: LIU, Hong, et al.
Published: (2014) -
A compact representation of human actions by sliding coordinate coding
by: DING, Runwei, et al.
Published: (2017) -
Learning directional co-occurrence for human action classification
by: LIU, Hong, et al.
Published: (2014) -
Action classification by exploring directional co-occurrence of weighted STIPs
by: LIU, Mengyuan, et al.
Published: (2014)