Automatic Grid Fitting for Genetic Spot Array Images Containing Guide Spots. - Norbert Brändle; Hilmar Lapp; Horst Bischof (CAIP, 1999)

Robust Spot Fitting for Genetic Spot Array Images. - Horng-Yang Chen; Norbert Brändle; Horst Bischof; Hilmar Lapp (ICIP, 2000)

Robust Parametric and Semi-Parametric Spot Fitting for Spot Array Images. - Norbert Brändle; Horng-Yang Chen; Horst Bischof; Hilmar Lapp (ISMB, 2000)

Robust DNA microarray image analysis. - Norbert Brändle; Horst Bischof; Hilmar Lapp (Mach. Vis. Appl., 2003)

Pedestrian Detection and Tracking for Counting Applications in Crowded Situations. - Oliver Sidla; Yuriy Lypetskyy; Norbert Brändle; Stefan Seer (AVSS, 2006)

Finding Highly Frequented Paths in Video Sequences. - Dietmar Bauer; Norbert Brändle; Stefan Seer; Roman P. Pflugfelder (ICPR (1), 2006)

Track-Based Finding of Stopping Pedestrians - A Practical Approach for Analyzing a Public Infrastructure. - Norbert Brändle; Dietmar Bauer; Stefan Seer (ITSC, 2006)

Macroscopic pedestrian flow simulation for designing crowd control measures in public transport after special events. - Dietmar Bauer; Stefan Seer; Norbert Brändle (SCSC, 2007)

Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes. - Günther Eibl; Norbert Brändle (ICPR, 2008)

Estimating Pedestrian Movement Characteristics for Crowd Control at Public Transport Facilities. - Stefan Seer; Dietmar Bauer; Norbert Brändle; Markus Ray (ITSC, 2008)

On extracting commuter information from GPS motion data. - Dietmar Bauer; Markus Ray; Norbert Brändle; Helmut Schrom-Feiertag (MobiQuitous, 2008)

Towards complex visual surveillance algorithms on smart cameras. - Oliver Sidla; Norbert Brändle; Wanda Benesova; Marcin Rosner; Yuriy Lypetskyy (ICCV Workshops, 2009)

Pedestrian Behaviour Monitoring: Methods and Experiences. - Alexandra Millonig; Norbert Brändle; Markus Ray; Dietmar Bauer; Stefan van der Spek (BMI Book, 2009)

Real-time classification of pedestrians and cyclists for intelligent counting of non-motorized traffic. - Ahmed Nabil Belbachir; Stephan Schraml; Norbert Brändle (CVPR Workshops, 2010)

A real-time pedestrian classification method for event-based dynamic stereo vision. - Stephan Schraml; Ahmed Nabil Belbachir; Norbert Brändle (CVPR Workshops, 2010)

Learning Major Pedestrian Flows in Crowded Scenes. - Peter Widhalm; Norbert Brändle (ICPR, 2010)

Next-generation 3D visualization for visual surveillance. - Peter M. Roth; Volker Settgast; Peter Widhalm; Marcel Lancelle; Josef A. Birchbauer; Norbert Brändle; Sven Havemann; Horst Bischof (AVSS, 2011)

Robust online trajectory clustering without computing trajectory distances. - Michael Ulm; Norbert Brändle (ICPR, 2012)

Transport mode detection with realistic Smartphone sensor data. - Peter Widhalm; Philippe Nitsche; Norbert Brändle (ICPR, 2012)

Assessing traffic performance using position density of sparse FCD. - Anita Graser; Wolfgang Ponweiser; Melitta Dragaschnig; Norbert Brändle; Peter Widhalm (ITSC, 2012)

Robust road link speed estimates for sparse or missing probe vehicle data. - Peter Widhalm; Markus Piff; Norbert Brändle; Hannes Koller; Martin Reinthaler (ITSC, 2012)

Kinects and Human Kinetics: A New Approach for Studying Crowd Behavior - Stefan Seer; Norbert Brändle; Carlo Ratti (CoRR, 2012)

Learning tubes. - Michael Ulm; Norbert Brändle (ICPR, 2016)

Semi-supervised segmentation of accelerometer time series for transport mode classification. - Maximilian Leodolter; Peter Widhalm; Claudia Plant; Norbert Brändle (MT-ITS, 2017)

Top in the Lab, Flop in the Field?: Evaluation of a Sensor-based Travel Activity Classifier with the SHL Dataset. - Peter Widhalm; Maximilian Leodolter; Norbert Brändle (UbiComp/ISWC Adjunct, 2018)

Automatic Detection of Warped Patterns in Time Series: The Caterpillar Algorithm. - Maximilian Leodolter; Norbert Brändle; Claudia Plant (ICBK, 2018)

Into the Wild - Avoiding Pitfalls in the Evaluation of Travel Activity Classifiers. - Peter Widhalm; Maximilian Leodolter; Norbert Brändle (Human Activity Sensing, 2019)

Ensemble-based domain adaptation for transport mode recognition with mobile sensors. - Peter Widhalm; Maximilian Leodolter; Norbert Brändle (UbiComp/ISWC Adjunct, 2019)

Untangling origin-destination flows in geographic information systems. - Anita Graser; Johanna Schmidt; Florian Roth; Norbert Brändle (Inf. Vis., 2019)

Popup-Plots: Warping Temporal Data Visualization. - Johanna Schmidt; Dominik Fleischmann; Bernhard Preim; Norbert Brändle; Gabriel Mistelbauer (IEEE Trans. Vis. Comput. Graph., 2019)

Tackling the SHL recognition challenge with phone position detection and nearest neighbour smoothing. - Peter Widhalm; Philipp Merz; Liviu Coconu; Norbert Brändle (UbiComp/ISWC Adjunct, 2020)

Exploratory Trajectory Analysis for Massive Historical AIS Datasets. - Anita Graser; Melitta Dragaschnig; Peter Widhalm; Hannes Koller; Norbert Brändle (MDM, 2020)

IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping. - Maximilian Leodolter; Claudia Plant; Norbert Brändle (J. Stat. Softw., 2021)

Rotation invariant GPS trajectory mining. - Maximilian Leodolter; Claudia Plant; Norbert Brändle (GeoInformatica, 2024)