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 ...
Anomaly detection in surveillance footage is crucial for ensuring protection and safety standards, as it enables the timely identification of unusual or suspicious activities. Recent literature has ...
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 ...