Recognizing human action in complex video sequences has always been challenging for
researchers due to articulated movements, occlusion, background clutter, and illumination …

In this paper, a novel algorithm for unsupervised change detection in multitemporal
multispectral images of the same scene using parallel binary particle swarm optimization …

For the effective operation of intelligent assistive systems working in real-world human
environments, it is important to be able to recognise human activities and their intentions. In …

We propose some computational methods for extracting static backgrounds from
surveillance videos corrupted by noise, blur, or both. The new methods are constructed …

Described is a system for object and behavior recognition which utilizes a collection of
modules which, when integrated, can automatically recognize, learn, and adapt to simple …

针对经典跟踪-学习-检测(TLD) 目标跟踪算法由于检测区域过大而导致的检测时间过长及对相似
目标跟踪处理效果不理想的问题, 提出一种检测区域可动态自适应调整的方法——TLD-DO …

A human body detection algorithm based on the combination of moving information with
shape information is proposed in the paper. Firstly, Eigen-object computed from three …

Unsupervised classification plays a vital role in overseeing the transformations on the earth
surface. Unsupervised classification has an indispensable role in an immense range of …