The explosive growth of the Internet of Things (IoT) applications has imposed a dramatic
increase of network data and placed a high computation complexity across various …

摘要基于视觉的目标检测与跟踪是图像处理, 计算机视觉, 模式识别等众多学科的交叉研究课题,
在视频监控, 虚拟现实, 人机交互, 自主导航等领域, 具有重要的理论研究意义和实际应用价值 …

Visual object tracking is a significant computer vision task which can be applied to many
domains, such as visual surveillance, human computer interaction, and video compression …

In this paper, we address the problem of tracking an object in a video given its location in the
first frame and no other information. Recently, a class of tracking techniques called “tracking …

In this paper, we address the problem of learning an adaptive appearance model for object
tracking. In particular, a class of tracking techniques called “tracking by detection” have been …

Visual tracking, in essence, deals with non-stationary image streams that change over time.
While most existing algorithms are able to track objects well in controlled environments, they …

We consider tracking as a binary classification problem, where an ensemble of weak
classifiers is trained online to distinguish between the object and the background. The …

Visual tracking is a challenging problem, as an object may change its appearance due to
viewpoint variations, illumination changes, and occlusion. Also, an object may leave the field …

Model-free trackers can track arbitrary objects based on a single (bounding-box) annotation
of the object. Whilst the performance of model-free trackers has recently improved …

A biologically inspired discriminant object tracker is proposed. It is argued that discriminant
tracking is a consequence of top-down tuning of the saliency mechanisms that guide the …