DocumentCode :
637266
Title :
Automatic detection of the direction and speed of moving objects in the video
Author :
Smirg, Ondrej ; Smekal, Zdenek ; Dutta, Malay Kishore ; Kakani, Bhavin
Author_Institution :
Dept. of Telecommun., Brno Univ. of Technol., Brno, Czech Republic
fYear :
2013
fDate :
8-10 Aug. 2013
Firstpage :
86
Lastpage :
90
Abstract :
This article deals with methods for automatic detection of moving objects in non-standard situations in secure areas, such as nuclear power plants, storage of hazardous materials, etc. Speed and direction, respectively, slow motion to a stop is detected for the monitored object. Specifically: the automatic detection of movement in the opposite direction than normal, passage or move too fast, and stopping or blocking passages. The emphasis is put on real-time processing and on design effective and efficient methods. A new approach is a combination and modification of optical flow techniques and Mixture Of Gaussians method (MOG).
Keywords :
Gaussian processes; image sequences; object detection; real-time systems; velocity; video signal processing; MOG; automatic detection; direction; mixture of Gaussians method; moving objects; nonstandard situations; optical flow techniques; real-time processing; speed; video; Adaptation models; Adaptive optics; Computer vision; Image motion analysis; Optical distortion; Optical imaging; Vectors; Farneback; Lucas-Kanade; Mixture of Gaussian; Movement detection; Optical flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Contemporary Computing (IC3), 2013 Sixth International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-0190-6
Type :
conf
DOI :
10.1109/IC3.2013.6612167
Filename :
6612167
Link To Document :
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