Abstract Multiple Object Tracking (MOT) has gained increasing attention due to its academic
and commercial potential. Although different approaches have been proposed to tackle this …

Drones, or general UAVs, equipped with cameras have been fast deployed with a wide
range of applications, including agriculture, aerial photography, and surveillance …

Effective multi-object tracking (MOT) methods have been developed in recent years for a
wide range of applications including visual surveillance and behavior understanding …

One of the most popular approaches to multi-target tracking is tracking-by-detection. Current
min-cost flow algorithms which solve the data association problem optimally have three …

Incorporating multiple cameras is an effective solution to improve the performance and
robustness of multi-target tracking to occlusion and appearance ambiguities. In this paper …

Abstract The majority of Multi-Object Tracking (MOT) algorithms based on the tracking-by-
detection scheme do not use higher order dependencies among objects or tracklets, which …

Over the last couple of years, object detection and tracking reserachers have been
developing many new techniques, which has been used widely by others. In this article, we …

Most multi-object tracking algorithms are developed within the tracking-by-detection
framework that consider the pairwise appearance similarities between detection responses …

Tucker tensor decomposition (TD) is widely used for image representation, reconstruction,
and learning tasks. Compared to principal component analysis (PCA) models, tensor …

It is important for a moving observer to be able to identify his/her surrounding objects and
determine whether these objects are moving or stationary, which is called object-level …