Multi-agent event detection system using k-nearest neighbor classifier

Author

Suriani, Nor Surayahani ; Hussain, Amir ; Zulkifley, Mohd Asyraf

Author_Institution

Dept. of Electr., Electron. & Syst. Eng., Univ. Kebangsaan Malaysia, Bangi, Malaysia

fYear

2014

fDate

15-18 Jan. 2014

Firstpage

1

Lastpage

2

Abstract

This paper affords a method for the automatic multi-agent event recognition (M-AER) of snatch theft event. M-AER is known to be difficult since parameters such as motion, background, appearance, illumination etc. are constantly changing. In this work, motion vector flow (MVF) and directional motion histogram (DMH) that capture the interaction between two persons in a video sequence are being proposed as input of the M-AER. Assuring result of 90% accuracy has been achieved for the snatch theft detection.

Keywords

image sequences; multi-agent systems; pattern classification; video signal processing; DMH; M-AER; MVF; automatic multiagent event recognition; directional motion histogram; k-nearest neighbor classifier; motion vector flow; multiagent event detection system; snatch theft detection; video sequence; Event detection; Feature extraction; Histograms; Image edge detection; Support vector machine classification; Vectors; Video surveillance; Multi-agent event detection; motion vector flow; snatch theft event detection; video surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Information and Communications (ICEIC), 2014 International Conference on

Conference_Location

Kota Kinabalu

Type

conf

DOI

10.1109/ELINFOCOM.2014.6914382

Filename

6914382