308 citations · 483 across the 2 of their papers we have counts for
2 papers
cs.CV2018★ 175 cited
Learning Multi-scale Features for Foreground Segmentation
Long Ang Lim, Hacer Yalim Keles
Foreground segmentation algorithms aim segmenting moving objects from the background in a robust way under various challenging scenarios. Encoder-decoder type deep neural networks…
cs.CV2018★ 308 cited
Foreground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding
Long Ang Lim, Hacer Yalim Keles
A common approach for moving objects segmentation in a scene is to perform a background subtraction. Several methods have been proposed in this domain. However, they lack the abili…