Håkan Ardö

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 15

Top Venues

CoRR

ICCV Workshops

VISIGRAPP (5: VISAPP)

Comput. Electron. Agric.

Lund University, Sweden (PHD)

Education History

Lund University, Sweden

PHD

Publications

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.
SoccerNet 2023 Challenges Results. CoRR (2023)
Qunying Song, Markus Borg, Emelie Engström, Håkan Ardö, Sergio Rico
Exploring ML testing in practice - Lessons learned from an interactive rapid review with Axis Communications. CoRR (2022)
Qunying Song, Markus Borg, Emelie Engström, Håkan Ardö, Sergio Rico
Exploring ML testing in practice: lessons learned from an interactive rapid review with axis communications. CAIN (2022)
Håkan Ardö, Martin Ahrnbom, Mikael G. Nilsson
Height Normalizing Image Transform for Efficient Scene Specific Pedestrian Detection. AVSS (2022)
Martin Ahrnbom, Ivar Persson, Håkan Ardö, Mikael G. Nilsson
Generalized Urban Traffic Surveillance (GUTS): World-Coordinate Tracking for Traffic Safety Applications. ITSC (2022)
Martin Ahrnbom, Mikael G. Nilsson, Håkan Ardö
Real-time and Online Segmentation Multi-target Tracking with Track Revival Re-identification. VISIGRAPP (5: VISAPP) (2021)
Martin Ahrnbom, Mikael G. Nilsson, Håkan Ardö, Kalle Åström, Oksana Yastremska-Kravchenko, Aliaksei Laureshyn
Calibration and Absolute Pose Estimation of Trinocular Linear Camera Array for Smart City Applications. ICPR (2020)
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
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCV Workshops (2019)
Håkan Ardö, Mikael G. Nilsson
Multi Target Tracking by Learning from Generalized Graph Differences. CoRR (2019)
Håkan Ardö, Mikael G. Nilsson
Multi Target Tracking from Drones by Learning from Generalized Graph Differences. ICCV Workshops (2019)
Oleksiy Guzhva, Håkan Ardö, Mikael G. Nilsson, Anders H. Herlin, Linda Tufvesson
Now You See Me: Convolutional Neural Network Based Tracker for Dairy Cows. Frontiers Robotics AI 5 (2018)
Håkan Ardö, Oleksiy Guzhva, Mikael G. Nilsson, Anders H. Herlin
Convolutional neural network-based cow interaction watchdog. IET Comput. Vis. 12 (2) (2018)
Mikael G. Nilsson, Martin Ahrnbom, Håkan Ardö, Aliaksei Laureshyn
A Search Space Strategy for Pedestrian Detection and Localization in World Coordinates. VISIGRAPP (5: VISAPP) (2018)
Martin Ahrnbom, Morten Borno Jensen, Kalle Åström, Mikael G. Nilsson, Håkan Ardö, Thomas B. Moeslund
Improving a Real-Time Object Detector with Compact Temporal Information. ICCV Workshops (2017)
Oleksiy Guzhva, Håkan Ardö, Anders H. Herlin, Mikael G. Nilsson, Kalle Åström, Christer Bergsten
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. 127 (2016)
Håkan Ardö, Linus Svärm
Bayesian Formulation of Gradient Orientation Matching. ICVS (2015)
Mikael G. Nilsson, Håkan Ardö
In Search of a Car - Utilizing a 3D Model with Context for Object Detection. VISAPP (2) (2014)
Mikael G. Nilsson, Håkan Ardö, Aliaksei Laureshyn, Anna Persson
Reduced Search Space for Rapid Bicycle Detection. ICPRAM (2013)
Håkan Ardö, Mikael G. Nilsson, Rikard Berthilsson
Flow Counting Using Realboosted Multi-sized Window Detectors. ECCV Workshops (3) (2012)
Håkan Ardö, Kalle Åström
Bayesian Formulation of Image Patch Matching Using Cross-correlation. J. Math. Imaging Vis. 43 (1) (2012)
Håkan Ardö, Carl Friedrich Bolz, Maciej Fijalkowski
Loop-aware optimizations in PyPy's tracing JIT. DLS (2012)
Luca Bascetta, Gianni Ferretti, Paolo Rocco, Håkan Ardö, Herman Bruyninckx, Eric Demeester, Enrico Di Lello
Towards safe human-robot interaction in robotic cells: An approach based on visual tracking and intention estimation. IROS (2011)
Hanna Källén, Håkan Ardö, Olof Enqvist
Tracking and reconstruction of vehicles for accurate position estimation. WACV (2011)
Håkan Ardö, Kalle Åström
Bayesian formulation of image patch matching using cross-correlation. ICDSC (2009)
Hongtu Jiang, Håkan Ardö, Viktor Öwall
A Hardware Architecture for Real-Time Video Segmentation Utilizing Memory Reduction Techniques. IEEE Trans. Circuits Syst. Video Technol. 19 (2) (2009)
Håkan Ardö, Rikard Berthilsson
Adaptive Background Estimation using Intensity Independent Features. BMVC (2006)
Hongtu Jiang, Viktor Öwall, Håkan Ardö
Real-Time Video Segmentation with VGA Resolution and Memory Bandwidth Reduction. AVSS (2006)
Håkan Ardö
Learning Based System for Detection and Tracking of Vehicles. SCIA (2005)
Hongtu Jiang, Håkan Ardö, Viktor Öwall
Hardware accelerator design for video segmentation with multi-modal background modelling. ISCAS (2) (2005)

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Publication Activity (10 Years)

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Håkan Ardö