In this paper, we address various challenges in multi-pedestrian and vehicle tracking in high-
resolution aerial imagery by intensive evaluation of a number of traditional and Deep …

遥感卫星视频中的目标小, 场景变化多样, 在遥感卫星视频上的进行多目标跟踪存在一定的困难.
针对卫星视频中目标小的特点, 提出了一种高分辨率遥感卫星视频的多目标跟踪算法 …

Multi-Object Tracking (MOT) describes the task of identifying all objects in an image and
following them over a sequence of frames. A wide range of Deep Learning-based MOT …

Multi-pedestrian tracking in aerial imagery has several applications such as large-scale
event monitoring, disaster management, search-and-rescue missions, and as input into …

Multi-object detection is a classical challenge in the computer vision community which
involves the identification of up to several objects of interest in an image and constructing …

Multiple Object Tracking (MOT) is the detection of unique objects and their movements
through frames. There are various issues in Multiple Object Tracking like occlusions, similar …

Multi-pedestrian and-vehicle tracking in aerial imagery has several critical applications,
including event monitoring, disaster management, predictive traffic, and transport efficiency …