Spectral-spatial-temporal object tracking in hyperspectral videos. This project aims to advance video processing systems through the development of hyperspectral object detection and tracking methods.

Description

Spectral-spatial-temporal object tracking in hyperspectral videos. This project aims to advance video processing systems through the development of hyperspectral object detection and tracking methods. Focused on challenging scenarios faced by conventional camera systems, this research harnesses the capability of hyperspectral video cameras in material identification within and beyond the visible spectrum to capture and model the spectral, spatial, and temporal information for object tracking. Expected outcomes include the formulation of novel methods for material identification, spatial distribution mapping, spectral-structural feature extraction, and their integration into temporal tracking models. This promises to reshape video processing, benefiting agriculture, environment, and transportation sectors. . Scheme: Discovery Projects. Field: 4603 - Computer Vision and Multimedia Computation. Lead: Prof Jun Zhou