Scene Invariant Virtual Gates Using DNNs
Scene Invariant Virtual Gates Using DNNs is a scholarly work, published in 2019 in ''IEEE Transactions on Circuits and Systems for Video Technology''. The main subjects of the publication include anomaly detection, convolutional neural network, pedestrian, invariant, viewpoints, artificial intelligence, annotation, computer vision, set, Multiple object tracking, machine learning, and computer science. The authors investigate the use of convolutional neural network and long short-term memory architectures to estimate pedestrian through-put from arbitrary CCTV viewpoints.