Martin Ahrnbom

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

    Martin Ahrnbom, Karl Åström & Mikael Nilsson, 2016 dec 16, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2016. IEEE Computer Society, s. 1609-1615 7 s. 7789690

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  2. Improving a real-time object detector with compact temporal information

    Martin Ahrnbom, Bornø Jensen, M., Karl Åström, Mikael Nilsson, Håkan Ardö & Moeslund, T., 2018 jan 19, International Conference on Computer Vision Workshops, 2017: Computer Vision for Road Scene Understanding and Autonomous Driving Workshop. IEEE - Institute of Electrical and Electronics Engineers Inc., s. 190-197 8 s.

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  3. A Framework for Automated Traffic Safety Analysis from Video Using Modern Computer Vision

    Bornø Jensen, M., Martin Ahrnbom, Kruithof, M., Karl Åström, Mikael Nilsson, Håkan Ardö, Aliaksei Laureshyn, Carl Johnsson & Moeslund, T., 2019 jan 13, Transportation Research Board Annual Meeting 2019.

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  4. A search space strategy for pedestrian detection and localization in world coordinates

    Mikael Nilsson, Martin Ahrnbom, Håkan Ardo & Aliaksei Laureshyn, 2018 jan 1, VISAPP. SciTePress, Vol. 5. s. 17-24 8 s.

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