Foreground object detection in highly dynamic scenes using saliency

By Kai-Hsiang Lin, Pooya Khorrami, Jiangping Wang, Mark Hasegawa-Johnson, Thomas S. Huang. 2014

6 citations recorded by the source corpus.

Subfields: 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 Computer Vision and Pattern Recognition

1. Grant Van Horn
2. Sara Beery
3. Pietro Perona
4. Luc Van Gool
5. Siyu Yang
6. Dan Morris
7. Trevor Darrell
8. Dacheng Tao

Citations in the corpus

• Recognition in Terra Incognita (2018, background): “[20, 23, 22] show foreground detection results on camera trap video.”
• The iWildCam 2019 Challenge Dataset (2019, background): “(4) Occlusion (5) Camouflage (6) Perspective”
• Efficient Pipeline for Camera Trap Image Review (2019, methodology): “The computer vision community has been making strides towards automating the species classification challenge in camera traps [1, 2, 4–16], but it has proven difficult to to apply models trained in one region to images collected in different geographic areas.”