1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 1 cited
Deep Multi-stream Network for Video-based Calving Sign Detection
Ryosuke Hyodo, Teppei Nakano, Tetsuji Ogawa
We have designed a deep multi-stream network for automatically detecting calving signs from video. Calving sign detection from a camera, which is a non-contact sensor, is expected…
cs.HC2023
Video Surveillance System Incorporating Expert Decision-making Process: A Case Study on Detecting Calving Signs in Cattle
Ryosuke Hyodo, Susumu Saito, Teppei Nakano +3
Through a user study in the field of livestock farming, we verify the effectiveness of an XAI framework for video surveillance systems. The systems can be made interpretable by inc…