The self-expressive property of data points, that is, each data point can be linearly
represented by the other data points in the same subspace, has proven effective in leading …

This study proposes an efficient anomalous behaviour detection framework using trajectory
analysis. Such framework includes the trajectory pattern learning module and the online …

A learning-based framework for action representation and recognition relying on the
description of an action by time series of optical flow motion features is presented. In the …

This paper presents a motion-based skin Region of Interest (ROI) detection method using a
real-time connected component labeling algorithm to provide real-time and adaptive skin …

In this paper, we proposed a new trajectory clustering based on partition-cluster-extract
(PCE). Firstly, some relative definitions are defined, and then we proposed a new partition …

In recent years, the Mean shift algorithm has extensive applications in the field of video
tracking. It has some advantages of low cost, small memory, and good tracking effect …

This chapter focuses on problems that can be posed as labelling or clustering problems in
which the solution is a set of labels assigned to image pixels or features. It presents how …

Detecting lane automatically from the IP camera is an important component of the intelligent
vision-based traffic big data system. Many previous studies focus on the main lanes …

针对视频图像序列中运动目标的分割问题, 提出了一种融合测地线的水平集模型(CV-GAC)
和图割优化相结合的算法. 采用高斯混合模型和背景差分获取目标的运动区域 …

Detecting anomalous behaviours in transportation has many benefits, some of these studies
oriented to the security of people, safety of people and vehicles, or even to the traffic …