Self-supervised Simultaneous Alignment and Change Detection
Yukuko Furukawa,Kumiko Suzuki,Ryuhei Hamaguchi,Masaki Onishi,Ken Sakurada,Yukuko Furukawa,Kumiko Suzuki,Ryuhei Hamaguchi,Masaki Onishi,Ken Sakurada
This study proposes a self-supervised method for detecting scene changes from an image pair. For mobile cameras such as drive recorders, to alleviate the camera viewpoints' difference, image alignment and change detection must be optimized simultaneously because they depend on each other. Moreover, lighting condition makes the scene change detection more difficult because it widely varies in image...
