Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …

The goal of this article is to review the state-of-the-art tracking methods, classify them into
different categories, and identify new trends. Object tracking, in general, is a challenging …

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 …

The present study aimed to validate and compare the football-specific measurement
accuracy of two optical tracking systems engineered by TRACAB. The “Gen4” system …

In a crowded public space, people often walk in groups, either with people they know or
strangers. Associating a group of people over space and time can assist understanding …

A sentient system combines detection, tracking, and immersive visualization of a cluttered
and crowded environment, such as an office building, terminal, or other enclosed site using …

This paper presents a survey of trajectory-based activity analysis for visual surveillance. It
describes techniques that use trajectory data to define a general set of activities that are …

In crowded spaces such as city centers or train stations, human mobility looks complex, but
is often influenced only by a few causes. We propose to quantitatively study crowded …

We propose a novel approach for modelling correlations between activities in a busy public
space captured by multiple non-overlapping and uncalibrated cameras. In our approach …

Person reidentification in a camera network is a valuable yet challenging problem to solve.
Existing methods learn a common Mahalanobis distance metric by using the data collected …