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 …

Low-rank and sparse structures have been profoundly studied in matrix completion and
compressed sensing. In this paper, we develop" Go Decomposition"(GoDec) to efficiently …

Background subtraction is a key prerequisite for a wide range of image processing
applications due to its pervasiveness in various contexts. In particular, video surveillance …

Within the field of computer vision, change detection algorithms aim at automatically
detecting significant changes occurring in a scene by analyzing the sequence of frames in a …

Background subtraction techniques are often treated as fundamental and significant ways to
analyze and understand video content. In this paper, we propose a weight-sample-based …

Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …

In this paper, we propose a novel computer vision-based fall detection system for monitoring
an elderly person in a home care, assistive living application. Initially, a single camera …

Non-negative matrix factorization (NMF) approximates a non-negative matrix $ X $ by a
product of two non-negative low-rank factor matrices $ W $ and $ H $. NMF and its …

Given the existence of many change detection algorithms, each with its own peculiarities
and strengths, we propose a combination strategy, that we termed IUTIS (In Unity There Is …

The exponential growth of surveillance videos presents an unprecedented challenge for
high-efficiency surveillance video coding technology. Compared with the existing coding …