Key motivation: Tracking both location and pose of multiple planar objects (MPOT) is of great significance to numerous real-world applications, including industrial, education, geometry, art, and our ...
TL; DR. MOTIP proposes a new perspective to regard the multi-object tracking task as an ID prediction problem. It directly predicts the ID labels for each object in the tracking process, which is more ...
Abstract: Multiple object tracking plays a crucial role in intelligent transportation systems. Due to the varying size, fast motion, and occlusion of traffic objects, multiple object tracking in ...
Abstract: We proposed a novel ensemble selection method called VISTA for multiple layers ensemble systems (MLES). Our ensemble model consists of multiple layers of ensemble of classifiers (EoC) in ...