Animal Detection From Highly Cluttered Natural Scenes Using Spatiotemporal Object Region Proposals and Patch Verification

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Recognition in Terra Incognita (2018, background): “[20, 23, 22] show foreground detection results on camera trap video.”
Camera-trap images segmentation using multi-layer robust principal component analysis (2017, methodology): “The F-measure metrics from [41] and [42] are based on object detection.”
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.”
The iWildCam 2019 Challenge Dataset (2019, background): “Automating camera trap labeling is not a new challenge for the computer vision community [1, 3–10, 12–17].”