Multi-camera-based security log management scheme for smart surveillance

Daehoon Kim, Een Jun Hwang, Seungmin Rho

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In this paper, we propose a new security log management scheme for smart surveillance in a multi-camera environment. Basically, our security log consist of descriptions for various behavior properties of moving objects, such as motion type, time, and speed in a merged camera view. To generate such security log, we first analyze the input video frame from each surveillance camera and construct a motion vector of interest points in the frame. By analyzing the motion vector, we recognize moving objects and trace their local behavior in the video. On the basis of this analysis, we can calculate various global behavior features of the objects in the merged camera view, which can be acquired by stitching together the frames from multiple camera inputs. Such global behavior features are captured into security logs, which can be used to smartly carry out various surveillance operations such as retrieving objects whose behavior is similar to a query behavior or whose behavior shows predefined abnormality. Because our scheme treats all the objects in the frame independently, it can handle multiple objects simultaneously. We implemented a prototype system and performed various experiments to demonstrate that our scheme can achieve a reasonable performance.

Original languageEnglish
Pages (from-to)1517-1527
Number of pages11
JournalSecurity and Communication Networks
Volume7
Issue number10
DOIs
Publication statusPublished - 2014 Jan 1

Fingerprint

Cameras
Experiments

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Multi-camera-based security log management scheme for smart surveillance. / Kim, Daehoon; Hwang, Een Jun; Rho, Seungmin.

In: Security and Communication Networks, Vol. 7, No. 10, 01.01.2014, p. 1517-1527.

Research output: Contribution to journalArticle

@article{a77dcabde02c43d4bc2a0cd5a1a06271,
title = "Multi-camera-based security log management scheme for smart surveillance",
abstract = "In this paper, we propose a new security log management scheme for smart surveillance in a multi-camera environment. Basically, our security log consist of descriptions for various behavior properties of moving objects, such as motion type, time, and speed in a merged camera view. To generate such security log, we first analyze the input video frame from each surveillance camera and construct a motion vector of interest points in the frame. By analyzing the motion vector, we recognize moving objects and trace their local behavior in the video. On the basis of this analysis, we can calculate various global behavior features of the objects in the merged camera view, which can be acquired by stitching together the frames from multiple camera inputs. Such global behavior features are captured into security logs, which can be used to smartly carry out various surveillance operations such as retrieving objects whose behavior is similar to a query behavior or whose behavior shows predefined abnormality. Because our scheme treats all the objects in the frame independently, it can handle multiple objects simultaneously. We implemented a prototype system and performed various experiments to demonstrate that our scheme can achieve a reasonable performance.",
keywords = "Local feature, Multi-camera, Object recognition, SURF, Surveillance",
author = "Daehoon Kim and Hwang, {Een Jun} and Seungmin Rho",
year = "2014",
month = "1",
day = "1",
doi = "10.1002/sec.735",
language = "English",
volume = "7",
pages = "1517--1527",
journal = "Security and Communication Networks",
issn = "1939-0122",
publisher = "John Wiley and Sons Inc.",
number = "10",

}

TY - JOUR

T1 - Multi-camera-based security log management scheme for smart surveillance

AU - Kim, Daehoon

AU - Hwang, Een Jun

AU - Rho, Seungmin

PY - 2014/1/1

Y1 - 2014/1/1

N2 - In this paper, we propose a new security log management scheme for smart surveillance in a multi-camera environment. Basically, our security log consist of descriptions for various behavior properties of moving objects, such as motion type, time, and speed in a merged camera view. To generate such security log, we first analyze the input video frame from each surveillance camera and construct a motion vector of interest points in the frame. By analyzing the motion vector, we recognize moving objects and trace their local behavior in the video. On the basis of this analysis, we can calculate various global behavior features of the objects in the merged camera view, which can be acquired by stitching together the frames from multiple camera inputs. Such global behavior features are captured into security logs, which can be used to smartly carry out various surveillance operations such as retrieving objects whose behavior is similar to a query behavior or whose behavior shows predefined abnormality. Because our scheme treats all the objects in the frame independently, it can handle multiple objects simultaneously. We implemented a prototype system and performed various experiments to demonstrate that our scheme can achieve a reasonable performance.

AB - In this paper, we propose a new security log management scheme for smart surveillance in a multi-camera environment. Basically, our security log consist of descriptions for various behavior properties of moving objects, such as motion type, time, and speed in a merged camera view. To generate such security log, we first analyze the input video frame from each surveillance camera and construct a motion vector of interest points in the frame. By analyzing the motion vector, we recognize moving objects and trace their local behavior in the video. On the basis of this analysis, we can calculate various global behavior features of the objects in the merged camera view, which can be acquired by stitching together the frames from multiple camera inputs. Such global behavior features are captured into security logs, which can be used to smartly carry out various surveillance operations such as retrieving objects whose behavior is similar to a query behavior or whose behavior shows predefined abnormality. Because our scheme treats all the objects in the frame independently, it can handle multiple objects simultaneously. We implemented a prototype system and performed various experiments to demonstrate that our scheme can achieve a reasonable performance.

KW - Local feature

KW - Multi-camera

KW - Object recognition

KW - SURF

KW - Surveillance

UR - http://www.scopus.com/inward/record.url?scp=84908153687&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84908153687&partnerID=8YFLogxK

U2 - 10.1002/sec.735

DO - 10.1002/sec.735

M3 - Article

AN - SCOPUS:84908153687

VL - 7

SP - 1517

EP - 1527

JO - Security and Communication Networks

JF - Security and Communication Networks

SN - 1939-0122

IS - 10

ER -