Integrating gamma camera image and surveillance videos to track the pedestrian with radiation source

In response to the demand for customs detection and tracking of individuals carrying radioactive sources, this paper proposes a method that integrates radiographic imaging information for identifying and tracking carriers. Initially, a portable source personnel visual tracking system equipped with a gamma camera is constructed to capture the position of radioactive sources and images of moving personnel within the security inspection area. Subsequently, a method is developed to link personnel targets identified by both the gamma camera and surveillance cameras, using Euclidean distance and intersecting areas to pinpoint carriers. Furthermore, leveraging the improved RepVGG reparameterization structure and residual networks, we accelerate Re-Identification (RE-ID) inference and propose a Deep Feature Tracking (DFT) method. This method tracks personnel by comparing feature similarities in adjacent frames. Experimental results validate the effectiveness of this method in identifying suspicious individuals carrying radioactive sources and in mapping the walking trajectories of these carriers using pre-deployed surveillance cameras.