A viewpoint-independent statistical method for fall detection

By Zhong Zhang, Weihua Liu, Vangelis Metsis, Vassilis Athitsos. 2012

63 citations recorded by the source corpus.

How researchers see this paper

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

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

Citations in the corpus

• RGB-D-based action recognition datasets: A survey (2016, background): “The Falling Event Detection dataset [20]( http://media-_lab.engr.ccny.cuny.edu/ ~zcy/ ) was collected in 2012 by City University of New York with the aim of creating a dataset for evaluating a newly proposed method for falling event detection and recognition.”
• Local structure preserving discriminative projections for RGB-D sensor-based scene classification (2015, unknown): “[62] proposed a robust fall detection scheme based on Kinect sensors, when compared to vision-based methods [34], does not require calibration and is viewpoint independent.”