Håkan Ardö

33 papers A 3B 4C 3Journal 8Unranked 14
YearRankTypeTitle / Venue / Authors
2025 — conf
PLRF-NMS: A Piecewise Linear Rational Function in Non-Maximum Suppression.
CAIP (2)
Ivar Persson, Håkan Ardö, Mikael G. Nilsson
2025 — conf
SPL-BEV: Soccer Player Localization and Birds-Eye-View Estimation.
CAIP (1)
Ivar Persson, Håkan Ardö, Mikael G. Nilsson
2025 — conf
Spiideo SoccerNet SynLoc: Single Frame World Coordinate Athlete Detection and Localization with Synthetic Data.
VISIGRAPP (2): VISAPP
Håkan Ardö, Mikael G. Nilsson, Anthony Cioppa, Floriane Magera, Silvio Giancola, Haochen Liu, Bernard Ghanem, Marc Van Droogenbroeck
2023 J jnl
SoccerNet 2023 Challenges Results.
CoRR
Anthony Cioppa, Silvio Giancola, Vladimir Somers, Floriane Magera, Xin Zhou, Hassan Mkhallati, Adrien Deliège, Jan Held, Carlos Hinojosa, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdullah Kamal, Adrien Maglo, Albert Clapés, Amr Abdelaziz, Artur Xarles, Astrid Orcesi, Atom Scott, Bin Liu, Byoungkwon Lim, Chen Chen, Fabian Deuser, Feng Yan, Fufu Yu, Gal Shitrit, Guanshuo Wang, Gyusik Choi, Hankyul Kim, Hao Guo, Hasby Fahrudin, Hidenari Koguchi, Håkan Ardö, Ibrahim Salah, Ido Yerushalmy, Iftikar Muhammad, Ikuma Uchida, Ishay Be'ery, Jaonary Rabarisoa, Jeongae Lee, Jiajun Fu, Jianqin Yin, Jinghang Xu, Jongho Nang, Julien Denize, Junjie Li, Junpei Zhang, Juntae Kim, Kamil Synowiec, et al.
2022 J jnl
Exploring ML testing in practice - Lessons learned from an interactive rapid review with Axis Communications.
CoRR
Qunying Song, Markus Borg, Emelie Engström, Håkan Ardö, Sergio Rico
2022 B conf
Exploring ML testing in practice: lessons learned from an interactive rapid review with axis communications.
CAIN
Qunying Song, Markus Borg, Emelie Engström, Håkan Ardö, Sergio Rico
2022 — conf
Generalized Urban Traffic Surveillance (GUTS): World-Coordinate Tracking for Traffic Safety Applications.
ITSC
Martin Ahrnbom, Ivar Persson, Håkan Ardö, Mikael G. Nilsson
2022 B conf
Height Normalizing Image Transform for Efficient Scene Specific Pedestrian Detection.
AVSS
Håkan Ardö, Martin Ahrnbom, Mikael G. Nilsson
2021 — conf
Real-time and Online Segmentation Multi-target Tracking with Track Revival Re-identification.
VISIGRAPP (5: VISAPP)
Martin Ahrnbom, Mikael G. Nilsson, Håkan Ardö
2020 B conf
Calibration and Absolute Pose Estimation of Trinocular Linear Camera Array for Smart City Applications.
ICPR
Martin Ahrnbom, Mikael G. Nilsson, Håkan Ardö, Kalle Åström, Oksana Yastremska-Kravchenko, Aliaksei Laureshyn
2019 J jnl
Multi Target Tracking by Learning from Generalized Graph Differences.
CoRR
Håkan Ardö, Mikael G. Nilsson
2019 — conf
Multi Target Tracking from Drones by Learning from Generalized Graph Differences.
ICCV Workshops
Håkan Ardö, Mikael G. Nilsson
2019 — conf
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results.
ICCV Workshops
Longyin Wen, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Ajit Jadhav, Bing Dong, Brejesh Lall, Chang Liu, Chunhui Zhang, Dong Wang, Pengfei Zhu, Feng Ni, Filiz Bunyak, Gaoang Wang, Guizhong Liu, Guna Seetharaman, Guorong Li, Håkan Ardö, Haotian Zhang, Hongyang Yu, Huchuan Lu, Dawei Du, Jenq-Neng Hwang, Jiatong Mu, Jinrong Hu, Kannappan Palaniappan, Long Chen, Lu Ding, Martin Lauer, Mikael G. Nilsson, Noor M. Al-Shakarji, Prerana Mukherjee, Xiao Bian, Qingming Huang, Robert Laganière, Shuhao Chen, Siyang Pan, Vinay Kaushik, Wei Shi, Wei Tian, Weiqiang Li, Xin Chen, Xinyu Zhang, Haibin Ling, Yanting Zhang, Yanyun Zhao, Yong Wang, Yuduo Song, Yuehan Yao, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhihang Tong, Zhipeng Luo, Qinghua Hu, Zhuojin Sun, Jiayu Zheng, Tao Peng, Xinyao Wang
2018 — conf
A Search Space Strategy for Pedestrian Detection and Localization in World Coordinates.
VISIGRAPP (5: VISAPP)
Mikael G. Nilsson, Martin Ahrnbom, Håkan Ardö, Aliaksei Laureshyn
2018 J jnl
Convolutional neural network-based cow interaction watchdog.
IET Comput. Vis.
Håkan Ardö, Oleksiy Guzhva, Mikael G. Nilsson, Anders H. Herlin
2018 J jnl
Now You See Me: Convolutional Neural Network Based Tracker for Dairy Cows.
Frontiers Robotics AI
Oleksiy Guzhva, Håkan Ardö, Mikael G. Nilsson, Anders H. Herlin, Linda Tufvesson
2017 — conf
Improving a Real-Time Object Detector with Compact Temporal Information.
ICCV Workshops
Martin Ahrnbom, Morten Borno Jensen, Kalle Åström, Mikael G. Nilsson, Håkan Ardö, Thomas B. Moeslund
2016 J jnl
Feasibility study for the implementation of an automatic system for the detection of social interactions in the waiting area of automatic milking stations by using a video surveillance system.
Comput. Electron. Agric.
Oleksiy Guzhva, Håkan Ardö, Anders H. Herlin, Mikael G. Nilsson, Kalle Åström, Christer Bergsten
2015 C conf
Bayesian Formulation of Gradient Orientation Matching.
ICVS
Håkan Ardö, Linus Svärm
2014 — conf
In Search of a Car - Utilizing a 3D Model with Context for Object Detection.
VISAPP (2)
Mikael G. Nilsson, Håkan Ardö
2013 C conf
Reduced Search Space for Rapid Bicycle Detection.
ICPRAM
Mikael G. Nilsson, Håkan Ardö, Aliaksei Laureshyn, Anna Persson
2012 J jnl
Bayesian Formulation of Image Patch Matching Using Cross-correlation.
J. Math. Imaging Vis.
Håkan Ardö, Kalle Åström
2012 — conf
Flow Counting Using Realboosted Multi-sized Window Detectors.
ECCV Workshops (3)
Håkan Ardö, Mikael G. Nilsson, Rikard Berthilsson
2012 C conf
Loop-aware optimizations in PyPy's tracing JIT.
DLS
Håkan Ardö, Carl Friedrich Bolz, Maciej Fijalkowski
2011 A conf
Towards safe human-robot interaction in robotic cells: An approach based on visual tracking and intention estimation.
IROS
Luca Bascetta, Gianni Ferretti, Paolo Rocco, Håkan Ardö, Herman Bruyninckx, Eric Demeester, Enrico Di Lello
2011 A conf
Tracking and reconstruction of vehicles for accurate position estimation.
WACV
Hanna Källén, Håkan Ardö, Olof Enqvist
2009 J jnl
A Hardware Architecture for Real-Time Video Segmentation Utilizing Memory Reduction Techniques.
IEEE Trans. Circuits Syst. Video Technol.
Hongtu Jiang, Håkan Ardö, Viktor Öwall
2009 — conf
Bayesian formulation of image patch matching using cross-correlation.
ICDSC
Håkan Ardö, Kalle Åström
2009 — —
Multi-target Tracking Using on-line Viterbi Optimisation and Stochastic Modelling.
Håkan Ardö
2006 A conf
Adaptive Background Estimation using Intensity Independent Features.
BMVC
Håkan Ardö, Rikard Berthilsson
2006 B conf
Real-Time Video Segmentation with VGA Resolution and Memory Bandwidth Reduction.
AVSS
Hongtu Jiang, Viktor Öwall, Håkan Ardö
2005 — conf
Hardware accelerator design for video segmentation with multi-modal background modelling.
ISCAS (2)
Hongtu Jiang, Håkan Ardö, Viktor Öwall
2005 — conf
Learning Based System for Detection and Tracking of Vehicles.
SCIA
Håkan Ardö