Specific features of operation of fallen person detection algorithms based on a sequence of scene images

被引：2

作者：

Ivanov V.A. ^{[1
]}

Kirichuk V.S. ^{[1
]}

机构：

[1] Institute of Automation and Electrometry, Siberian Branch, Russian Academy of Sciences, Novosibirsk 630090

来源：

Optoelectronics, Instrumentation and Data Processing | 2011年 / 47卷 / 2期

关键词：

background; detector; image; object; recognition; sequence;

D O I：

10.3103/S8756699011020026

中图分类号：

学科分类号：

摘要：

Specific features of operation of fallen person detection algorithms having a moderate computational complexity and based on a sequence of images obtained by stationary video surveillance cameras are analyzed. Approaches to enhancing the algorithm operation stability are proposed. One variant of obtaining a more reliable silhouette of the object is considered; parameters used in recognition of the object states are analyzed and selected. A method of increasing the detector stability is proposed. This method is based on identifying intervals of stability of the average values of parameters, which allows reliability of detection of the object states to be improved. Results of computational experiments are presented. © 2011 Allerton Press, Inc.

引用

页码：114 / 123

页数：9

共 12 条

[1]

Lustrek M., Kaluza B., Fall Detection and Activity Recognition with Machine Learning, Informatica, 33, 2, pp. 205-212, (2009)

[2]

Noury N., Fleury A., Rumeau P., Et al., Fall Detection-Principles and Methods, Proc. of the 29th IEEE Int. Conf, pp. 1663-1666, (2007)

[3]

Toreyin B.U., Dedeoglu Y., Cetin A.E., HMM Based Falling Person Detection Using both Audio and Video, Proc. of the 14th IEEE Conf. Signal Processing and Communications Applications, pp. 1-4, (2006)

[4]

Elhabian S., El-Sayed K., Ahmed S., Moving Object Detection in Spatial Domain Using Background Removal Techniques-State-of-art, Recent Patents Computer Sci., 1, pp. 32-54, (2008)

[5]

Cheung S.-C.S., Kamath C., Robust Background Subtraction with Foreground Validation for Urban Traffic Video, EURASIP J. Appl. Sign. Process., 14, pp. 2330-2340, (2005)

[6]

He Y., Yang X., Vehicle Detection and Tracing Based on Phase-Correlation, Chin. Opt. Lett., 2, 6, pp. 323-324, (2004)

[7]

Nuzhnyi S.P., Chervyakov N.I., Detector of Motion in a Digital System of Security Video Surveillance, Proc. GraphiCon'2007, Moscow, (2007)

[8]

Ivanov V.A., Kirichuk V.S., Real-Time Detection of Moving Objects from a Sequence of Images, Avtometriya, 45, 5, pp. 14-21, (2009)

[9]

Cucchiara R., Grana C., Piccardi M., Prati A., Detecting Moving Objects, Ghosts, and Shadows in Video Streams, IEEE Trans. Pattern Anal. Mach. Intell., 25, 10, pp. 1337-1342, (2003)

[10]

Irie K., McKinnon A., Unsworth K., Woodhead I., Noise-Bound Method for Detecting Shadow-Free Scene Changes in Image Sequences, JOSA A, 27, 2, pp. 167-173, (2010)

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