TY - GEN
T1 - A New Diverse Dataset and Comparison of Algorithms for Pedestrian Detection in Top-View Fisheye Images
AU - Chiang, Sheng Ho
AU - Wang, Tsai-Pei
AU - Chen, Yi Fu
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Pedestrian detection in images has been extensively researched, however existing detectors designed for perspective images usually fail to detect people on top-view fisheye images due to the various appearances of people. In this paper, we establish a new diverse fisheye dataset which consist of indoor and outdoor fisheye images from public and private datasets. We also adapt three types of spatial transformation to make the visual look of the pedestrians as upright as possible and four commonly used algorithms for pedestrian detection without retraining of the detector models. In addition, we analyze the pedestrian detection results with different conditions to figure out the reason of the results.
AB - Pedestrian detection in images has been extensively researched, however existing detectors designed for perspective images usually fail to detect people on top-view fisheye images due to the various appearances of people. In this paper, we establish a new diverse fisheye dataset which consist of indoor and outdoor fisheye images from public and private datasets. We also adapt three types of spatial transformation to make the visual look of the pedestrians as upright as possible and four commonly used algorithms for pedestrian detection without retraining of the detector models. In addition, we analyze the pedestrian detection results with different conditions to figure out the reason of the results.
KW - Fisheye Cameras
KW - Omnidirectional Cameras
KW - Pedestrian Detection
UR - http://www.scopus.com/inward/record.url?scp=85124165151&partnerID=8YFLogxK
U2 - 10.1109/ISPACS51563.2021.9651008
DO - 10.1109/ISPACS51563.2021.9651008
M3 - Conference contribution
AN - SCOPUS:85124165151
T3 - ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding
BT - ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021
Y2 - 16 November 2021 through 19 November 2021
ER -