Mikael G. Nilsson

According to our database, Mikael G. Nilsson authored at least 36 papers between 2005 and 2022.

Collaborative distances:

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

2022

Monocular Estimation of Translation, Pose and 3D Shape on Detected Objects using a Convolutional Autoencoder.

Ivar Persson, Martin Ahrnbom, Mikael G. Nilsson

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Seg2Pose: Pose Estimations from Instance Segmentation Masks in One or Multiple Views for Traffic Applications.

Martin Ahrnbom, Ivar Persson, Mikael G. Nilsson

Proceedings of the 17th International Joint Conference on Computer Vision, 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

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

Virtual Drive Testing Over-the-Air for Vehicular Communications.

Yilin Ji, Wei Fan, Mikael G. Nilsson, Lassi Hentilä, Kristian Karlsson, Fredrik Tufvesson, Gert Frølund Pedersen

IEEE Trans. Veh. Technol., 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

A Path Loss and Shadowing Model for Multilink Vehicle-to-Vehicle Channels in Urban Intersections.

Mikael G. Nilsson, Carl Gustafson, Taimoor Abbas, Fredrik Tufvesson

Sensors, 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

A Measurement-Based Multilink Shadowing Model for V2V Network Simulations of Highway Scenarios.

Mikael G. Nilsson, Carl Gustafson, Taimoor Abbas, Fredrik Tufvesson

IEEE Trans. Veh. Technol., 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

Minimizing the Maximal Rank.

Erik Bylow, Carl Olsson, Fredrik Kahl, Mikael G. Nilsson

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Fast Classification of Empty and Occupied Parking Spaces Using Integral Channel Features.

Martin Ahrnbom, Kalle Åström, Mikael G. Nilsson

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Measurement Uncertainty, Channel Simulation, and Disturbance Characterization of an Over-the-Air Multiprobe Setup for Cars at 5.9 GHz.

Mikael G. Nilsson, Paul Hallbjörner, Niklas Araback, Bjorn Bergqvist, Taimoor Abbas, Fredrik Tufvesson

IEEE Trans. Ind. Electron., 2015

2014

Impact of a truck as an obstacle on vehicle-to-vehicle communications in rural and highway scenarios.

Dimitrios Vlastaras, Taimoor Abbas, Mikael G. Nilsson, Russ Whiton, Magnus Olback, Fredrik Tufvesson

Proceedings of the 6th IEEE International Symposium on Wireless Vehicular Communications, 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

Adaptive Fingerprint Image Enhancement With Emphasis on Preprocessing of Data.

Josef Ström Bartunek, Mikael G. Nilsson, Benny Sällberg, Ingvar Claesson

IEEE Trans. Image Process., 2013

Reduced Search Space for Rapid Bicycle Detection.

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

Proceedings of the ICPRAM 2013, 2013

A novel methodology for the interoperability evaluation of an iris segmentation algorithm.

Irina Gertsovich, Josef Ström Bartunek, Lars Håkansson, Mikael G. Nilsson

Proceedings of the IEEE Sixth International Conference on Biometrics: Theory, 2013

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

2011

Classification of Raman Spectra to Detect Hidden Explosives.

Naveed R. Butt, Mikael G. Nilsson, Andreas Jakobsson, Magnus Nordberg, Anna Pettersson, Sara Wallin, Henric Östmark

IEEE Geosci. Remote. Sens. Lett., 2011

2010

An improved classification scheme for standoff detection of explosives via Raman spectroscopy.

Naveed R. Butt, Mikael G. Nilsson, Andreas Jakobsson, Anna Pettersson, Sara Wallin, Henne Östmark

Proceedings of the 18th European Signal Processing Conference, 2010

Mouth open or closed decision for frontal face images with given eye locations.

Mikael G. Nilsson, Irina Gertsovich, Josef Ström Bartunek

Proceedings of the Fourth IEEE International Conference on Biometrics: Theory Applications and Systems, 2010

2009

Analysis of Speed Sign Classification Algorithms Using Shape Based Segmentation of Binary Images.

Azam Sheikh Muhammad, Niklas Lavesson, Paul Davidsson, Mikael G. Nilsson

Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2008

On histograms and spatiograms - introduction of the mapogram.

Mikael G. Nilsson, Josef Ström Bartunek, Jörgen Nordberg, Ingvar Claesson

Proceedings of the International Conference on Image Processing, 2008

2007

On Feature Extraction and Classification in Speech and Image Processing.

Mikael G. Nilsson

PhD thesis, 2007

Segmentation and its real-world applications in speech processing.

Farook Sattar, Mikael G. Nilsson, Ingvar Claesson

Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

Face Detection using Local SMQT Features and Split up Snow Classifier.

Mikael G. Nilsson, Jörgen Nordberg, Ingvar Claesson

Proceedings of the IEEE International Conference on Acoustics, 2007

2005

Gray-scale image enhancement using the SMQT.

Mikael G. Nilsson, Mattias Dahl, Ingvar Claesson

Proceedings of the 2005 International Conference on Image Processing, 2005

The successive mean quantization transform.

Mikael G. Nilsson, Mattias Dahl, Ingvar Claesson

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005