This paper discusses the possibility of-and need for-tracking workforce on construction
jobsites using video cameras. An evaluation of algorithms and their associated results is …

Coherent motions, which describe the collective movements of individuals in crowd, widely
exist in physical and biological systems. Understanding their underlying priors and detecting …

Collective behaviors characterize the intrinsic dynamics of the crowds. Automatically
understanding collective crowd behaviors has important applications to video surveillance …

Yapay sinir ağları ve makine öğrenmesi, uzun yıllardır birçok problemin çözümünde
kullanılmıştır. Problemlerin ve modellerin karmaşıklaşması ve veri sayısındaki artış …

Crowd understanding has drawn increasing attention from the computer vision community,
and its progress is driven by the availability of public crowd datasets. In this paper, we …

In this paper, we propose a fast fully convolutional neural network (FCNN) for crowd
segmentation. By replacing the fully connected layers in CNN with 1 by 1 convolution …

Of the many crowd behavior models, very few have been used in assisting crowd
management practice. This lack of usage is partly due to crowd management involving a …

The literature of pedestrian, crowd and evacuation dynamics is captured in its approximate
full scope and is analysed at various levels using scientometric indicators of its underlying …

Crowd video analysis has applications in crowd management, public space design, and
visual surveillance. Example tasks potentially aided by automated analysis include anomaly …

We give an algorithmic introduction to Lagrangian coherent structures (LCSs) using a newly
developed computational engine, LCS Tool. LCSs are most repelling, attracting and …