US Patent Issued to The Hong Kong University of Science and Technology on Sept. 2 for "Enriched and discriminative convolutional neural network features for pedestrian re-identification and trajectory modeling" (Chinese Inventors)

ALEXANDRIA, Va., Sept. 3 -- United States Patent no. 12,406,502, issued on Sept. 2, was assigned to The Hong Kong University of Science and Technology (Hong Kong).

"Enriched and discriminative convolutional neural network features for pedestrian re-identification and trajectory modeling" was invented by Kok Yiu Wong (Hong Kong) and Jack Chin Pang Cheng (Hong Kong).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system for pedestrian re-identification comprises multiple cameras and a computing system. The cameras are configured to obtain data. The data comprises multiple images associated with one or more objects. The computing system is configured to extract features for each of the multiple images, determin...