A new method of moving object detection and shadow removing

Fuyuan Hu; Yanning Zhang; Lan Yao; Jinqiu Sun

doi:10.1007/s11767-005-0263-y

A new method of moving object detection and shadow removing

Fuyuan Hu, Yanning Zhang, Lan Yao, Jinqiu Sun

School of Computer Science

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

This paper presents an adaptive method of objects and shadows detection in video streams. Models of background are firstly set up and adaptively updated in Hue Saturation Intensity (HSI) color space to detect motion regions. Then, detection errors are dealt with by motion continuity and velocity consistency. Finally, cast shadows are removed by the generic properties of luminance, chrominance and gradient density. Experimental results and their evaluation are presented to verify the effectiveness of this new method.

Original language	English
Pages (from-to)	528-536
Number of pages	9
Journal	Journal of Electronics
Volume	24
Issue number	4
DOIs	https://doi.org/10.1007/s11767-005-0263-y
State	Published - Jul 2007

Keywords

Bimodal-distributional model
Hue Saturation Intensity (HSI) color space
Object detection
Shadows detection

Access to Document

10.1007/s11767-005-0263-y

Cite this

@article{3d778409e63d4f9d80271c6da01a61ee,

title = "A new method of moving object detection and shadow removing",

abstract = "This paper presents an adaptive method of objects and shadows detection in video streams. Models of background are firstly set up and adaptively updated in Hue Saturation Intensity (HSI) color space to detect motion regions. Then, detection errors are dealt with by motion continuity and velocity consistency. Finally, cast shadows are removed by the generic properties of luminance, chrominance and gradient density. Experimental results and their evaluation are presented to verify the effectiveness of this new method.",

keywords = "Bimodal-distributional model, Hue Saturation Intensity (HSI) color space, Object detection, Shadows detection",

author = "Fuyuan Hu and Yanning Zhang and Lan Yao and Jinqiu Sun",

year = "2007",

month = jul,

doi = "10.1007/s11767-005-0263-y",

language = "英语",

volume = "24",

pages = "528--536",

journal = "Journal of Electronics",

issn = "0217-9822",

publisher = "Science Press ",

number = "4",

}

TY - JOUR

T1 - A new method of moving object detection and shadow removing

AU - Hu, Fuyuan

AU - Zhang, Yanning

AU - Yao, Lan

AU - Sun, Jinqiu

PY - 2007/7

Y1 - 2007/7

N2 - This paper presents an adaptive method of objects and shadows detection in video streams. Models of background are firstly set up and adaptively updated in Hue Saturation Intensity (HSI) color space to detect motion regions. Then, detection errors are dealt with by motion continuity and velocity consistency. Finally, cast shadows are removed by the generic properties of luminance, chrominance and gradient density. Experimental results and their evaluation are presented to verify the effectiveness of this new method.

AB - This paper presents an adaptive method of objects and shadows detection in video streams. Models of background are firstly set up and adaptively updated in Hue Saturation Intensity (HSI) color space to detect motion regions. Then, detection errors are dealt with by motion continuity and velocity consistency. Finally, cast shadows are removed by the generic properties of luminance, chrominance and gradient density. Experimental results and their evaluation are presented to verify the effectiveness of this new method.

KW - Bimodal-distributional model

KW - Hue Saturation Intensity (HSI) color space

KW - Object detection

KW - Shadows detection

UR - http://www.scopus.com/inward/record.url?scp=34547274247&partnerID=8YFLogxK

U2 - 10.1007/s11767-005-0263-y

DO - 10.1007/s11767-005-0263-y

M3 - 文章

AN - SCOPUS:34547274247

SN - 0217-9822

VL - 24

SP - 528

EP - 536

JO - Journal of Electronics

JF - Journal of Electronics

IS - 4

ER -

A new method of moving object detection and shadow removing

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this