Title :
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
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;
Conference_Titel :
Electronics, Information and Communications (ICEIC), 2014 International Conference on
Conference_Location :
Kota Kinabalu
DOI :
10.1109/ELINFOCOM.2014.6914382
