A Critical Review of Action Recognition Benchmarks

By Tal Hassner. 2013

53 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. Wanqing Li
2. Pichao Wang
3. Philip O. Ogunbona
4. Chang-Fu Tang
5. Zhimin Gao
6. Zicheng Liu
7. Jing Zhang
8. Yonghong Hou

In Computer Vision and Pattern Recognition

1. Wanqing Li
2. Pichao Wang
3. Philip O. Ogunbona
4. Chang-Fu Tang
5. Zhimin Gao
6. Jun Liu
7. Jing Zhang
8. G. Wang

Citations in the corpus

• RGB-D-based action recognition datasets: A survey (2016, background): “Review papers categorizing and summarizing their characteristics are available to help researchers in evaluating their algorithms [5, 6, 7].”
• Survey on 3D Hand Gesture Recognition (2016, background): “Among numerous public data sets2,3,4 in vision field, both 2D [82], [83] and 3D [84] human action data sets have been provided for body gesture research.”
• Vision-based human activity recognition: a survey (2020, background): “In addition, [66] presents a summary of the results obtained on the recent ASLAN benchmark [79], which was designed to reflect on the variety of challenges that modern activity recognition systems are expected to overcome.”