12 citations · 30 across the 12 of their papers we have counts for
13 papers
FBINeRF: Feature-Based Integrated Recurrent Network for Pinhole and Fisheye Neural Radiance Fields
Yifan Wu, Tianyi Cheng, Peixu Xin +1
Previous studies aiming to optimize and bundle-adjust camera poses using Neural Radiance Fields (NeRFs), such as BARF and DBARF, have demonstrated impressive capabilities in 3D sce…
Estimating Distances Between People using a Single Overhead Fisheye Camera with Application to Social-Distancing Oversight
Zhangchi Lu, Mertcan Cokbas, Prakash Ishwar +1
Unobtrusive monitoring of distances between people indoors is a useful tool in the fight against pandemics. A natural resource to accomplish this are surveillance cameras. Unlike p…
Spatio-Visual Fusion-Based Person Re-Identification for Overhead Fisheye Images
Mertcan Cokbas, Prakash Ishwar, Janusz Konrad
Person re-identification (PRID) has been thoroughly researched in typical surveillance scenarios where various scenes are monitored by side-mounted, rectilinear-lens cameras. To da…
FRIDA: Fisheye Re-Identification Dataset with Annotations
Mertcan Cokbas, John Bolognino, Janusz Konrad +1
Person re-identification (PRID) from side-mounted rectilinear-lens cameras is a well-studied problem. On the other hand, PRID from overhead fisheye cameras is new and largely unstu…
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…