The goal of this paper is to review the state-of-the-art progress on visual tracking methods,
classify them into different categories, as well as identify future trends. Visual tracking is a …

Traditional spectral-based methods such as PCA are popular for anomaly detection in a
variety of problems and domains. However, if data includes tensor (multiway) structure (eg …

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 …

Cyber-physical-social systems (CPSS), integrating cyber, physical, and social spaces
together, bring both conveniences and challenges to humans. For practical applications and …

摘要随着摄像头安装数量的日益增多, 以及智慧城市和公共安全需求的日益增长,
采用人工的视频监控方式已经远远不能满足需要, 因此智能视频监控技术应运而生并迅速成为 …

Tensor decomposition has been demonstrated to be successful in a wide range of
applications, from neuroscience and wireless communications to social networks. In an …

Appearance modeling is very important for background modeling and object tracking.
Subspace learning-based algorithms have been used to model the appearances of objects …

Visual object tracking has become one of the most active research topics in computer vision,
which has been growing in commercial development as well as academic research. Many …

We propose an object tracking algorithm that learns a set of appearance models for adaptive
discriminative object representation. In this paper, object tracking is posed as a binary …

Videos can be naturally represented as multidimensional arrays known as tensors.
However, the geometry of the tensor space is often ignored. In this paper, we argue that the …