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  • Influence
Local Fisher Discriminant Analysis for Pedestrian Re-identification
TLDR
This paper presents a novel approach to the pedestrian re-identification problem that uses metric learning to improve the state-of-the-art performance on standard public datasets. Expand
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Intelligent distributed surveillance systems: a review
TLDR
This survey describes the current state-of-the-art in the development of automated visual surveillance systems so as to provide researchers in the field with a summary of progress achieved to date and to identify areas where further research is needed. Expand
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A Review of Computer Vision Techniques for the Analysis of Urban Traffic
TLDR
We present here a comprehensive review of the state-of-the-art computer vision for traffic video with a critical analysis and an outlook to future research directions. Expand
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Crowd analysis: a survey
TLDR
We present a survey on crowd analysis methods employed in computer vision research and discusses perspectives from other research disciplines and how they can contribute to the computer vision approach. Expand
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Crowd monitoring using image processing
The understanding of crowd behaviour in semi-confined spaces is an important part of the design of new pedestrian facilities, for major layout modifications to existing areas and for the dailyExpand
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Automatic congestion detection system for underground platforms
  • B. Lo, S. Velastin
  • Computer Science
  • Proceedings of International Symposium on…
  • 2 May 2001
TLDR
An automatic monitoring system is proposed in this paper for detecting overcrowding conditions in the platforms of underground train services. Expand
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On the efficacy of texture analysis for crowd monitoring
The goal of this work is to assess the efficacy of texture measures for estimating levels of crowd densities in images. This estimation is crucial for the problem of crowd monitoring and control. TheExpand
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Vehicle detection, tracking and classification in urban traffic
TLDR
This paper presents a system for vehicle detection, tracking and classification from roadside CCTV. Expand
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Automatic estimation of crowd density using texture
TLDR
This paper considers the role of automatic estimation of crowd density and its importance for the automatic monitoring of areas where crowds are expected to be present. Expand
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Estimation of crowd density using image processing
Human beings perceive images through their properties, like colour, shape, size, and texture. Texture is a fertile source of information about the physical environment. Images of low density crowdsExpand
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