This project demonstrates a Python implementation of a particle filter designed to track multiple objects simultaneously. The code simulates the 2D projectile motion of several balls and then uses a ...

M. D. Breitenstein, F. Reichlin, B. Leibe, E. Koller-Meier and L. V. Gool ”Online multi-person tracking-by-detection from a single, uncalibrated camera”, IEEE ...

Abstract: Multi-object detection and tracking are a fundamental task in computer vision, especially in surveillance, autonomous systems, and robotics. YOLOv7, a state-of-the-art real-time object ...

Abstract: Extended object tracking is concerned with estimation of object properties regarding both the kinematics and extent, i.e., shape. Particular challenges arise in case the orientation of the ...

Particle tracking is of key importance for quantitative analysis of intracellular dynamic processes from time-lapse microscopy image data. Because manually detecting and following large numbers of ...