3 papers
cs.CV2021
OmniFlow: Human Omnidirectional Optical Flow
Roman Seidel, André Apitzsch, Gangolf Hirtz
Optical flow is the motion of a pixel between at least two consecutive video frames and can be estimated through an end-to-end trainable convolutional neural network. To this end,…
cs.CV2018
Cubes3D: Neural Network based Optical Flow in Omnidirectional Image Scenes
André Apitzsch, Roman Seidel, Gangolf Hirtz
Optical flow estimation with convolutional neural networks (CNNs) has recently solved various tasks of computer vision successfully. In this paper we adapt a state-of-the-art appro…
cs.CV2018
Improved Person Detection on Omnidirectional Images with Non-maxima Suppression
Roman Seidel, André Apitzsch, Gangolf Hirtz
We propose a person detector on omnidirectional images, an accurate method to generate minimal enclosing rectangles of persons. The basic idea is to adapt the qualitative detection…