Some tracking algorithms based on Siamese network have made great progress in similarity
learning via features cross-correlation between an object branch and a search branch …

Multiple object tracking (MOT), as a core technology for environment perception in
autonomous driving, has attracted attention from researchers. Combing the advantages of …

In recent years, the challenge of detecting anomalies in real‐world surveillance videos using
weakly supervised data has emerged. Traditional methods, utilising multi‐instance learning …

In a complex traffic environment, the detection and association of moving objects can easily
lead to tracking errors. This work proposes a novel attention mechanism called MCSA …

Tracking-by-regression is a new paradigm for online Multi-Object Tracking (MOT). It unifies
detection and tracking into a single network by associating targets through regression …