Video object detection, a basic task in the computer vision field, is rapidly evolving and
widely used. In recent years, deep learning methods have rapidly become widespread in the …

Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

目的目标跟踪是计算机视觉中的关键问题, 在人机交互, 行为识别等领域有着非常广泛的应用.
最近, 相关滤波理论由于其高效性和鲁棒性, 被用于目标跟踪领域, 取得了一系列新的进展 …

Abstract The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-
term single-object visual trackers that do not apply pre-learned models of object …

Variations in the appearance of a tracked object, such as changes in geometry/photometry,
camera viewpoint, illumination, or partial occlusion, pose a major challenge to object …

This paper addresses the problem of single-target tracker performance evaluation. We
consider the performance measures, the dataset and the evaluation system to be the most …

In this paper, we address the problem of model-free online object tracking based on color
representations. According to the findings of recent benchmark evaluations, such trackers …

Most modern trackers typically employ a bounding box given in the first frame to track visual
objects, where their tracking results are often sensitive to the initialization. In this paper, we …

We propose a novel method for establishing correspondences on deformable objects for
single-target object tracking. The key ingredient is a dissimilarity measure between …

Video object detection is a fundamental tool for many applications. Since direct application
of image-based object detection cannot leverage the rich temporal information inherent in …