Håkan Ardö

According to our database, Håkan Ardö authored at least 28 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

SoccerNet 2023 Challenges Results.

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.

CoRR, 2023

2022

Generalized Urban Traffic Surveillance (GUTS): World-Coordinate Tracking for Traffic Safety Applications.

Martin Ahrnbom, Ivar Persson, Håkan Ardö, Mikael G. Nilsson

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Exploring ML testing in practice: lessons learned from an interactive rapid review with axis communications.

Qunying Song, Markus Borg, Emelie Engström, Håkan Ardö, Sergio Rico

Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022

Height Normalizing Image Transform for Efficient Scene Specific Pedestrian Detection.

Håkan Ardö, Martin Ahrnbom, Mikael G. Nilsson

Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

2021

Real-time and Online Segmentation Multi-target Tracking with Track Revival Re-identification.

Martin Ahrnbom, Mikael G. Nilsson, Håkan Ardö

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2020

Calibration and Absolute Pose Estimation of Trinocular Linear Camera Array for Smart City Applications.

Martin Ahrnbom, Mikael G. Nilsson, Håkan Ardö, Kalle Åström, Oksana Yastremska-Kravchenko, Aliaksei Laureshyn

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Multi Target Tracking by Learning from Generalized Graph Differences.

Håkan Ardö, Mikael G. Nilsson

CoRR, 2019

VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results.

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Multi Target Tracking from Drones by Learning from Generalized Graph Differences.

Håkan Ardö, Mikael G. Nilsson

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Convolutional neural network-based cow interaction watchdog.

Håkan Ardö, Oleksiy Guzhva, Mikael G. Nilsson, Anders H. Herlin

IET Comput. Vis., 2018

Now You See Me: Convolutional Neural Network Based Tracker for Dairy Cows.

Oleksiy Guzhva, Håkan Ardö, Mikael G. Nilsson, Anders H. Herlin, Linda Tufvesson

Frontiers Robotics AI, 2018

A Search Space Strategy for Pedestrian Detection and Localization in World Coordinates.

Mikael G. Nilsson, Martin Ahrnbom, Håkan Ardö, Aliaksei Laureshyn

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

2017

Improving a Real-Time Object Detector with Compact Temporal Information.

Martin Ahrnbom, Morten Borno Jensen, Kalle Åström, Mikael G. Nilsson, Håkan Ardö, Thomas B. Moeslund

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

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.

Oleksiy Guzhva, Håkan Ardö, Anders H. Herlin, Mikael G. Nilsson, Kalle Åström, Christer Bergsten

Comput. Electron. Agric., 2016

2015

Bayesian Formulation of Gradient Orientation Matching.

Håkan Ardö, Linus Svärm

Proceedings of the Computer Vision Systems - 10th International Conference, 2015

2014

In Search of a Car - Utilizing a 3D Model with Context for Object Detection.

Mikael G. Nilsson, Håkan Ardö

Proceedings of the VISAPP 2014, 2014

2013

Reduced Search Space for Rapid Bicycle Detection.

Mikael G. Nilsson, Håkan Ardö, Aliaksei Laureshyn, Anna Persson

Proceedings of the ICPRAM 2013, 2013

2012

Bayesian Formulation of Image Patch Matching Using Cross-correlation.

Håkan Ardö, Kalle Åström

J. Math. Imaging Vis., 2012

Flow Counting Using Realboosted Multi-sized Window Detectors.

Håkan Ardö, Mikael G. Nilsson, Rikard Berthilsson

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Loop-aware optimizations in PyPy's tracing JIT.

Håkan Ardö, Carl Friedrich Bolz, Maciej Fijalkowski

Proceedings of the 8th Symposium on Dynamic Languages, 2012

2011

Tracking and reconstruction of vehicles for accurate position estimation.

Hanna Källén, Håkan Ardö, Olof Enqvist

Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

Towards safe human-robot interaction in robotic cells: An approach based on visual tracking and intention estimation.

Luca Bascetta, Gianni Ferretti, Paolo Rocco, Håkan Ardö, Herman Bruyninckx, Eric Demeester, Enrico Di Lello

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2009

Multi-target Tracking Using on-line Viterbi Optimisation and Stochastic Modelling.

Håkan Ardö

PhD thesis, 2009

A Hardware Architecture for Real-Time Video Segmentation Utilizing Memory Reduction Techniques.

Hongtu Jiang, Håkan Ardö, Viktor Öwall

IEEE Trans. Circuits Syst. Video Technol., 2009

2006

Adaptive Background Estimation using Intensity Independent Features.

Håkan Ardö, Rikard Berthilsson

Proceedings of the British Machine Vision Conference 2006, 2006

Real-Time Video Segmentation with VGA Resolution and Memory Bandwidth Reduction.

Hongtu Jiang, Viktor Öwall, Håkan Ardö

Proceedings of the Advanced Video and Signal Based Surveillance, 2006

2005

Learning Based System for Detection and Tracking of Vehicles.

Håkan Ardö

Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

Hardware accelerator design for video segmentation with multi-modal background modelling.

Hongtu Jiang, Håkan Ardö, Viktor Öwall

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005