Counting People in Crowded Environments by Fusion of Shape and Motion Information. - Michael Pätzold; Rubén Heras Evangelio; Thomas Sikora (AVSS, 2010)

Towards Detecting People Carrying Objects - A Periodicity Dependency Pattern Approach. - Tobias Senst; Rubén Heras Evangelio; Volker Eiselein; Michael Pätzold; Thomas Sikora (VISAPP (2), 2010)

Real-time person counting by propagating networks flows. - Michael Pätzold; Thomas Sikora (AVSS, 2011)

On building decentralized wide-area surveillance networks based on ONVIF. - Tobias Senst; Michael Pätzold; Rubén Heras Evangelio; Volker Eiselein; Ivo Keller; Thomas Sikora (AVSS, 2011)

Efficient real-time local optical flow estimation by means of integral projections. - Tobias Senst; Volker Eiselein; Michael Pätzold; Thomas Sikora (ICIP, 2011)

Real-Time Multi-human Tracking Using a Probability Hypothesis Density Filter and Multiple Detectors. - Volker Eiselein; Daniel Arp; Michael Pätzold; Thomas Sikora (AVSS, 2012)

Splitting Gaussians in Mixture Models. - Rubén Heras Evangelio; Michael Pätzold; Thomas Sikora (AVSS, 2012)

Boosting Multi-hypothesis Tracking by Means of Instance-Specific Models. - Michael Pätzold; Rubén Heras Evangelio; Thomas Sikora (AVSS, 2012)

Adaptively Splitted GMM With Feedback Improvement for the Task of Background Subtraction. - Rubén Heras Evangelio; Michael Pätzold; Ivo Keller; Thomas Sikora (IEEE Trans. Inf. Forensics Secur., 2014)

Free-space detection with fish-eye cameras. - Simon Hanisch; Rubén Heras Evangelio; Hadj Hamma Tadjine; Michael Pätzold (Intelligent Vehicles Symposium, 2017)

Impact of Anonymization on Vehicle Detector Performance. - Lukas Schnabel; Stephan Matzka; Martin Stellmacher; Michael Pätzold; Elmar Matthes (AI4I, 2019)

Optimization of a CNN-based Object Detector for Fisheye Cameras. - Payam Goodarzi; Martin Stellmacher; Michael Pätzold; Ahmed Hussein; Elmar Matthes (ICVES, 2019)

Camera placement for parking surveillance applications using a two-step digital twin approach. - Ahmed Rida Sekkat; Michael Pätzold; Dörte Waldöstl; Oliver Sawade; Elmar Matthes (COINS, 2023)

Adversarial Attacks on Deep Learning Visual Object Detectors: Optimization and Evaluation of Physical Attack Vectors using YOLOv4. - Fritz Haas; Martin Stellmacher; Michael Pätzold; Ahmed Hussein; Elmar Matthes (IV, 2023)