Real-time vehicle detection based on Quasi-shot segmentation

Yan Liu; Yaping Dai; Meng Wang; Zhongjian Dai; Zubair Ahmed Memon

doi:10.1109/CISP.2010.5646999

Real-time vehicle detection based on Quasi-shot segmentation

Yan Liu^*, Yaping Dai, Meng Wang, Zhongjian Dai, Zubair Ahmed Memon

^*Corresponding author for this work

School of Automation

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

1 Citation (Scopus)

Abstract

In this paper, a Quasi-shot Segmentation Vehicle Detection (QSVD) method is proposed to improve the accuracy and robustness of traffic flow detection. The QSVD method is based on histogram intersection method to find the biggest difference between successive frames. Adjacent frames are considered in when vehicle is detected in current frame. Relying on the QSVD method, vehicle can be detected by signal peak and valley search and gradual transition shot detection problem can be resolved. The initial video is used to accomplish detection directly without image preprocessing. Experiments show that vehicles can be detected effectively by the QSVD method. The detection accuracy is remained at 93% or more.

Original language	English
Title of host publication	Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Pages	447-450
Number of pages	4
DOIs	https://doi.org/10.1109/CISP.2010.5646999
Publication status	Published - 2010
Event	2010 3rd International Congress on Image and Signal Processing, CISP 2010 - Yantai, China Duration: 16 Oct 2010 → 18 Oct 2010

Publication series

Name	Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Volume	1

Conference

Conference	2010 3rd International Congress on Image and Signal Processing, CISP 2010
Country/Territory	China
City	Yantai
Period	16/10/10 → 18/10/10

Keywords

Histogram intersection
Quasi-shot segmentation
Vehicle detection

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10.1109/CISP.2010.5646999

Cite this

Liu, Y., Dai, Y., Wang, M., Dai, Z., & Memon, Z. A. (2010). Real-time vehicle detection based on Quasi-shot segmentation. In Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010 (pp. 447-450). Article 5646999 (Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010; Vol. 1). https://doi.org/10.1109/CISP.2010.5646999

@inproceedings{d3aaace23c5e4f7b9e757cd340b3c9cd,

title = "Real-time vehicle detection based on Quasi-shot segmentation",

abstract = "In this paper, a Quasi-shot Segmentation Vehicle Detection (QSVD) method is proposed to improve the accuracy and robustness of traffic flow detection. The QSVD method is based on histogram intersection method to find the biggest difference between successive frames. Adjacent frames are considered in when vehicle is detected in current frame. Relying on the QSVD method, vehicle can be detected by signal peak and valley search and gradual transition shot detection problem can be resolved. The initial video is used to accomplish detection directly without image preprocessing. Experiments show that vehicles can be detected effectively by the QSVD method. The detection accuracy is remained at 93% or more.",

keywords = "Histogram intersection, Quasi-shot segmentation, Vehicle detection",

author = "Yan Liu and Yaping Dai and Meng Wang and Zhongjian Dai and Memon, {Zubair Ahmed}",

year = "2010",

doi = "10.1109/CISP.2010.5646999",

language = "English",

isbn = "9781424465149",

series = "Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010",

pages = "447--450",

booktitle = "Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010",

note = "2010 3rd International Congress on Image and Signal Processing, CISP 2010 ; Conference date: 16-10-2010 Through 18-10-2010",

}

Liu, Y, Dai, Y, Wang, M, Dai, Z & Memon, ZA 2010, Real-time vehicle detection based on Quasi-shot segmentation. in Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010., 5646999, Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010, vol. 1, pp. 447-450, 2010 3rd International Congress on Image and Signal Processing, CISP 2010, Yantai, China, 16/10/10. https://doi.org/10.1109/CISP.2010.5646999

Real-time vehicle detection based on Quasi-shot segmentation. / Liu, Yan; Dai, Yaping; Wang, Meng et al.
Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010. 2010. p. 447-450 5646999 (Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010; Vol. 1).

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

TY - GEN

T1 - Real-time vehicle detection based on Quasi-shot segmentation

AU - Liu, Yan

AU - Dai, Yaping

AU - Wang, Meng

AU - Dai, Zhongjian

AU - Memon, Zubair Ahmed

PY - 2010

Y1 - 2010

N2 - In this paper, a Quasi-shot Segmentation Vehicle Detection (QSVD) method is proposed to improve the accuracy and robustness of traffic flow detection. The QSVD method is based on histogram intersection method to find the biggest difference between successive frames. Adjacent frames are considered in when vehicle is detected in current frame. Relying on the QSVD method, vehicle can be detected by signal peak and valley search and gradual transition shot detection problem can be resolved. The initial video is used to accomplish detection directly without image preprocessing. Experiments show that vehicles can be detected effectively by the QSVD method. The detection accuracy is remained at 93% or more.

AB - In this paper, a Quasi-shot Segmentation Vehicle Detection (QSVD) method is proposed to improve the accuracy and robustness of traffic flow detection. The QSVD method is based on histogram intersection method to find the biggest difference between successive frames. Adjacent frames are considered in when vehicle is detected in current frame. Relying on the QSVD method, vehicle can be detected by signal peak and valley search and gradual transition shot detection problem can be resolved. The initial video is used to accomplish detection directly without image preprocessing. Experiments show that vehicles can be detected effectively by the QSVD method. The detection accuracy is remained at 93% or more.

KW - Histogram intersection

KW - Quasi-shot segmentation

KW - Vehicle detection

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DO - 10.1109/CISP.2010.5646999

M3 - Conference contribution

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SN - 9781424465149

T3 - Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010

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BT - Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010

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Y2 - 16 October 2010 through 18 October 2010

ER -

Real-time vehicle detection based on Quasi-shot segmentation

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Keywords

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