View-invariant motion trajectory-based activity classification and recognition

By Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld. 2006

88 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing

How researchers see this paper

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

In Artificial Intelligence

1. Cuiling Lan
2. Wenjun Zeng
3. Nanning Zheng
4. Junliang Xing
5. Pengfei Zhang
6. Jianru Xue
7. G. Wang
8. Jun Liu

In Computer Vision and Pattern Recognition

1. Wenjun Zeng
2. Pengfei Zhang
3. Jianru Xue
4. Cuiling Lan
5. Nanning Zheng
6. Junliang Xing
7. Liang Wang
8. G. Wang

In Signal Processing

1. Nanning Zheng
2. Wenjun Zeng
3. Junliang Xing
4. Cuiling Lan

Citations in the corpus

• View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data (2017, background): “Researchers have paid much attention to this issue and designed view-invariant approaches for action recognition from color videos [16, 30, 3, 32, 20, 7, 33, 41, 23, 15, 22, 43, 44, 25, 49, 29, 8].”
• View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition (2018, background): “Some attempts have been made in previous works to overcome the view variation problem for robust action recognition [3], [8], [9], [14], [15], [19], [24], [26], [31], [36], [37], [39], [40], [50], [52], [53], [60].”