A Cuboid Bi-Level Log Operator for Action Classification
We propose a 3-D cuboid bi-level Laplacian-of-Gaussian (CBLoG) operator with high speed and invariant space-time scale for detecting abrupt changes of signals in videos. This 3-D CBLoG operator is applied in the detection of spatio-temporal interest points in videos. Then, we extract rich feature de...
Main Authors: | Kaibo Yao, Nong Sang, Changxin Gao |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8470086/ |
Similar Items
-
Survey of Spatio-Temporal Interest Point Detection Algorithms in Video
by: Yanshan Li, et al.
Published: (2017-01-01) -
GA-STIP: Action Recognition in Multi-Channel Videos With Geometric Algebra Based Spatio-Temporal Interest Points
by: Rui Wang, et al.
Published: (2018-01-01) -
A Novel SURF Based on a Unified Model of Appearance and Motion-Variation
by: Yanshan Li, et al.
Published: (2018-01-01) -
Rational cuboids and Geron triangles
by: Edmundas Mazėtis, et al.
Published: (2018-12-01) -
Morphological and morphometric features of cuboid bone
by: S Viveka, et al.
Published: (2017-01-01)