Abandoned object detection in complicated environments

Kahlil Muchtar; Chih Yang Lin; Li Wei Kang; Chia Hung Yeh

doi:10.1109/APSIPA.2013.6694206

Abandoned object detection in complicated environments

Kahlil Muchtar, Chih Yang Lin^*, Li Wei Kang, Chia Hung Yeh

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

In video surveillance, tracking-based approaches are very popular especially for detecting abandoned objects in public areas. Once the object has been tracked, the object status can be further classified as removed or abandoned. However, some shortcomings were found on tracking-based approaches, e.g. illumination changes and occlusion. Therefore, in this paper, an alternative approach to detect abandoned objects is proposed by incorporating background modeling and Markov model. In addition the shadow removal is employed to rectify detected objects and obtain more accurate results. The experimental results show that the proposed scheme is better than other methods in terms of accuracy and correctness.

Original language	English
Title of host publication	2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
DOIs	https://doi.org/10.1109/APSIPA.2013.6694206
Publication status	Published - 2013
Externally published	Yes
Event	2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 - Kaohsiung, Taiwan Duration: 2013 Oct 29 → 2013 Nov 1

Publication series

Name	2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013

Conference

Conference	2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
Country/Territory	Taiwan
City	Kaohsiung
Period	2013/10/29 → 2013/11/01

ASJC Scopus subject areas

Information Systems
Signal Processing

Access to Document

10.1109/APSIPA.2013.6694206

Cite this

Muchtar, K., Lin, C. Y., Kang, L. W., & Yeh, C. H. (2013). Abandoned object detection in complicated environments. In 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 Article 6694206 (2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013). https://doi.org/10.1109/APSIPA.2013.6694206

Abandoned object detection in complicated environments. / Muchtar, Kahlil; Lin, Chih Yang; Kang, Li Wei et al.
2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013. 2013. 6694206 (2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Muchtar, K, Lin, CY, Kang, LW & Yeh, CH 2013, Abandoned object detection in complicated environments. in 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013., 6694206, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013, Kaohsiung, Taiwan, 2013/10/29. https://doi.org/10.1109/APSIPA.2013.6694206

@inproceedings{4d1aee46598c43c9a9bef50bc643d852,

title = "Abandoned object detection in complicated environments",

abstract = "In video surveillance, tracking-based approaches are very popular especially for detecting abandoned objects in public areas. Once the object has been tracked, the object status can be further classified as removed or abandoned. However, some shortcomings were found on tracking-based approaches, e.g. illumination changes and occlusion. Therefore, in this paper, an alternative approach to detect abandoned objects is proposed by incorporating background modeling and Markov model. In addition the shadow removal is employed to rectify detected objects and obtain more accurate results. The experimental results show that the proposed scheme is better than other methods in terms of accuracy and correctness.",

author = "Kahlil Muchtar and Lin, {Chih Yang} and Kang, {Li Wei} and Yeh, {Chia Hung}",

year = "2013",

doi = "10.1109/APSIPA.2013.6694206",

language = "English",

isbn = "9789869000604",

series = "2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013",

booktitle = "2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013",

note = "2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 ; Conference date: 29-10-2013 Through 01-11-2013",

}

TY - GEN

T1 - Abandoned object detection in complicated environments

AU - Muchtar, Kahlil

AU - Lin, Chih Yang

AU - Kang, Li Wei

AU - Yeh, Chia Hung

PY - 2013

Y1 - 2013

N2 - In video surveillance, tracking-based approaches are very popular especially for detecting abandoned objects in public areas. Once the object has been tracked, the object status can be further classified as removed or abandoned. However, some shortcomings were found on tracking-based approaches, e.g. illumination changes and occlusion. Therefore, in this paper, an alternative approach to detect abandoned objects is proposed by incorporating background modeling and Markov model. In addition the shadow removal is employed to rectify detected objects and obtain more accurate results. The experimental results show that the proposed scheme is better than other methods in terms of accuracy and correctness.

AB - In video surveillance, tracking-based approaches are very popular especially for detecting abandoned objects in public areas. Once the object has been tracked, the object status can be further classified as removed or abandoned. However, some shortcomings were found on tracking-based approaches, e.g. illumination changes and occlusion. Therefore, in this paper, an alternative approach to detect abandoned objects is proposed by incorporating background modeling and Markov model. In addition the shadow removal is employed to rectify detected objects and obtain more accurate results. The experimental results show that the proposed scheme is better than other methods in terms of accuracy and correctness.

UR - http://www.scopus.com/inward/record.url?scp=84893231302&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893231302&partnerID=8YFLogxK

U2 - 10.1109/APSIPA.2013.6694206

DO - 10.1109/APSIPA.2013.6694206

M3 - Conference contribution

AN - SCOPUS:84893231302

SN - 9789869000604

T3 - 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013

BT - 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013

T2 - 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013

Y2 - 29 October 2013 through 1 November 2013

ER -

Abandoned object detection in complicated environments

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this