One of the main and most effective measures to contain the recent viral outbreak is the
maintenance of the so-called Social Distancing (SD). To comply with this constraint …

Video imagery based crowd analysis for population profiling and density estimation in public
spaces can be a highly effective tool for establishing global situational awareness. Different …

OpenPTrack is an open source software for multi-camera calibration and people tracking in
RGB-D camera networks. It allows to track people in big volumes at sensor frame rate and …

Crop growth monitoring is an important phenomenon for agriculture classification, yield
estimation, agriculture field management, improve productivity, irrigation, fertilizer …

In this work, we address the problem of estimating the so-called" Social Distancing" given a
single uncalibrated image in unconstrained scenarios. Our approach proposes a semi …

Camera calibration and radial distortion correction are the crucial prerequisites for many
applications in image big data and computer vision. Many existing works rely on the …

We present a novel two-pass framework for counting the number of people in an
environment, where multiple cameras provide different views of the subjects. By exploiting …

In a video surveillance system with a single static camera, tracking results of moving persons
can be effectively used for camera self-calibration. However, the current methods need to …

In this study, an estimation method for human height is proposed using color and depth
information. Color images are used for deep learning by mask R-CNN to detect a human …

We present a quadratic unconstrained binary optimization (QUBO) framework for reasoning
about multiple object detections with spatial overlaps. The method maximizes an objective …