4 citations · 5 across the 2 of their papers we have counts for
3 papers
BSUV-Net 2.0: Spatio-Temporal Data Augmentations for Video-Agnostic Supervised Background Subtraction
M. Ozan Tezcan, Prakash Ishwar, Janusz Konrad
Background subtraction (BGS) is a fundamental video processing task which is a key component of many applications. Deep learning-based supervised algorithms achieve very good perfo…
RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images
Zhihao Duan, M. Ozan Tezcan, Hayato Nakamura +2
Recent methods for people detection in overhead, fisheye images either use radially-aligned bounding boxes to represent people, assuming people always appear along image radius or…
BSUV-Net: A Fully-Convolutional Neural Network for Background Subtraction of Unseen Videos
M. Ozan Tezcan, Prakash Ishwar, Janusz Konrad
Background subtraction is a basic task in computer vision and video processing often applied as a pre-processing step for object tracking, people recognition, etc. Recently, a numb…