Multiple object tracking (MOT), a key task in image recognition, poses a persistent challenge in balancing processing speed and tracking accuracy. This study presents a novel approach that leverages ...
Multi-object tracking (MOT) is a highly challenging task in computer vision that aims to estimate the motion trajectories of objects in a video. Optimizing the performance of MOT algorithms can ...
Our proposed HOMATracker comprises the following steps: (A) Object detection: A detector is used to locate the objects in each frame; (B) Instance-level appearance feature extraction: We involve a ...