Recently, sparse coding has been successfully applied in visual tracking. The goal of this
paper is to review the state-of-the-art tracking methods based on sparse coding. We first …

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 …

The use of multiple features has been shown to be an effective strategy for visual tracking
because of their complementary contributions to appearance modeling. The key problem is …

Visual tracking using multiple features has been proved as a robust approach because
features could complement each other. Since different types of variations such as …

To intelligently analyze and understand video content, a key step is to accurately perceive
the motion of the interested objects in videos. To this end, the task of object tracking, which …

Sparse representation-based visual tracking approaches have attracted increasing interests
in the community in recent years. The main idea is to linearly represent each target …

Tracking target of interests is an important step for motion perception in intelligent video
surveillance systems. While most recently developed tracking algorithms are grounded in …

The task of segmenting nuclei and cytoplasm in Papanicolau smear images is one of the
most challenging tasks in automated cervix cytological analysis owing to the high degree of …

Visual tracking is a popular and challenging topic in computer vision and robotics. Owing to
changes in the appearance of the target and complicated variations that may occur in …

Most existing tracking approaches are based on either the tracking by detection framework
or the tracking by matching framework. The former needs to learn a discriminative classifier …