Crowd density estimation via Markov Random Field (MRF)

2010 ◽  
Author(s):  
Jinnian Guo ◽  
Xinyu Wu ◽  
Tian Cao ◽  
Shiqi Yu ◽  
Yangsheng Xu
Keyword(s):  
Random Field ◽  
Density Estimation ◽  
Markov Random Field ◽  
Markov Random ◽  
Crowd Density Estimation ◽  
Crowd Density

scholarly journals Recurrent Sampling Models for the Helmholtz Machine

1999 ◽  
Vol 11 (3) ◽  
pp. 653-677 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Random Field ◽  
Density Estimation ◽  
Markov Random Field ◽  
Single Layer ◽  
Recent Analysis ◽  
Stochastic Sampling ◽  
Markov Random ◽  
Analysis By Synthesis ◽  
Mutually Independent ◽  
Estimation Models

Many recent analysis-by-synthesis density estimation models of cortical learning and processing have made the crucial simplifying assumption that units within a single layer are mutually independent given the states of units in the layer below or the layer above. In this article, we suggest using either a Markov random field or an alternative stochastic sampling architecture to capture explicitly particular forms of dependence within each layer. We develop the architectures in the context of real and binary Helmholtz machines. Recurrent sampling can be used to capture correlations within layers in the generative or the recognition models, and we also show how these can be combined.

Fusion Moves for Markov Random Field Optimization

2010 ◽  
Vol 32 (8) ◽  
pp. 1392-1405 ◽  
Author(s):  
Victor Lempitsky ◽  
Carsten Rother ◽  
Stefan Roth ◽  
Andrew Blake
Keyword(s):  
Random Field ◽  
Markov Random Field ◽  
Markov Random

Crowd density estimation method based on floor area

2020 ◽  
Vol 1651 ◽  
pp. 012060
Author(s):  
Fujian Feng ◽  
Shuang Liu ◽  
Yongzheng Pan ◽  
Xin He ◽  
Jiayin Wei ◽  
...  
Keyword(s):  
Density Estimation ◽  
Estimation Method ◽  
Floor Area ◽  
Crowd Density Estimation ◽  
Crowd Density
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