Human Action Recognition by Mining Discriminative Segment with Novel Skeleton Joint Feature

By Weijia Zou, Baoyuan Wang, Rui Zhang. 2013

5 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Fei Han
2. William A. Hoff
3. Brian Reily
4. Hao Zhang
5. Jun Liu
6. G. Wang
7. Alex ChiChung Kot
8. Ling-yu Duan

In Computer Vision and Pattern Recognition

1. Fei Han
2. William A. Hoff
3. Brian Reily
4. Hao Zhang
5. Jun Liu
6. G. Wang
7. Alex ChiChung Kot
8. Ling-yu Duan

Citations in the corpus

• Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016, background): “Many other existing human representations are also based on low-level skeleton-based features [117], [118], [119], [123], [134], [139], [140], [141], [154], [157], [158], [162], [200] without modeling the hierarchy of the data.”
• A discussion on the validation tests employed to compare human action recognition methods using the MSR Action3D dataset (2014, unknown): “[30] 2013 - 94.”