Crowd detection in video sequences

Pini Reisman; Ofer Mano; Shai Avidan; Amnon Shashua

Crowd detection in video sequences

Pini Reisman^*, Ofer Mano, Shai Avidan, Amnon Shashua

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

73 Scopus citations

Abstract

We present a real-time system that detects moving crowd In a video sequence. Crowd detection differs from pedestrian detection In that we assume that no Individual pedestrian can be properly segmented In the image. We propose a scheme that looks at the motion patterns of crowd in the spatio-temporal domain and give an efficient Implementation that can detect crowd in real-time. In our experiments we detected crowd at distances of up to 70m.

Original language	English
Pages	66-71
Number of pages	6
State	Published - 2004
Externally published	Yes
Event	2004 IEEE Intelligent Vehicles Symposium - Parma, Italy Duration: 14 Jun 2004 → 17 Jun 2004

Conference

Conference	2004 IEEE Intelligent Vehicles Symposium
Country/Territory	Italy
City	Parma
Period	14/06/04 → 17/06/04

Cite this

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title = "Crowd detection in video sequences",

abstract = "We present a real-time system that detects moving crowd In a video sequence. Crowd detection differs from pedestrian detection In that we assume that no Individual pedestrian can be properly segmented In the image. We propose a scheme that looks at the motion patterns of crowd in the spatio-temporal domain and give an efficient Implementation that can detect crowd in real-time. In our experiments we detected crowd at distances of up to 70m.",

author = "Pini Reisman and Ofer Mano and Shai Avidan and Amnon Shashua",

year = "2004",

language = "אנגלית",

pages = "66--71",

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TY - CONF

T1 - Crowd detection in video sequences

AU - Reisman, Pini

AU - Mano, Ofer

AU - Avidan, Shai

AU - Shashua, Amnon

PY - 2004

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N2 - We present a real-time system that detects moving crowd In a video sequence. Crowd detection differs from pedestrian detection In that we assume that no Individual pedestrian can be properly segmented In the image. We propose a scheme that looks at the motion patterns of crowd in the spatio-temporal domain and give an efficient Implementation that can detect crowd in real-time. In our experiments we detected crowd at distances of up to 70m.

AB - We present a real-time system that detects moving crowd In a video sequence. Crowd detection differs from pedestrian detection In that we assume that no Individual pedestrian can be properly segmented In the image. We propose a scheme that looks at the motion patterns of crowd in the spatio-temporal domain and give an efficient Implementation that can detect crowd in real-time. In our experiments we detected crowd at distances of up to 70m.

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SP - 66

EP - 71

T2 - 2004 IEEE Intelligent Vehicles Symposium

Y2 - 14 June 2004 through 17 June 2004

ER -

Crowd detection in video sequences

Abstract

Conference

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