DocumentCode :
228878
Title :
Human tracking system
Author :
Wagh, Kavita Vilas ; Kulkarni, R.K.
Author_Institution :
Electron. & Telecommun. Dept., Vivekanand Inst. of Technol., Mumbai, India
fYear :
2014
fDate :
13-14 Feb. 2014
Firstpage :
1
Lastpage :
6
Abstract :
Human tracking is a comprehensive framework for tracking coarse human model performed from sequences of synchronized monocular grayscale images in single or multiple camera system coordinates. It is nothing but segmenting an interested human from video scene and keep track if it continuously. It demonstrates the feasibility of an end to end person tracking system where initially it start background subtraction, then detection of the interested human and tracking of that human form one frame to another continuously. For detection of the interested human PCA algorithm is used. Finally Kalman filter is introduced into tracking the people. Our system have demonstrated that as compaired with other methods it reduces detection time comparitively and improves human detection and tracking accuracy.
Keywords :
Kalman filters; cameras; image motion analysis; object detection; object tracking; principal component analysis; video signal processing; Kalman filter; background subtraction; end to end person tracking system; human PCA algorithm; human detection; human tracking system; multiple camera system coordinates; single camera system coordinates; synchronized monocular grayscale images; tracking coarse human model; video scene; Algorithm design and analysis; Cameras; Kalman filters; Principal component analysis; Target tracking; Vectors; Detection; Eigenfaces; Segmentation; tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Communication Systems (ICECS), 2014 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2321-2
Type :
conf
DOI :
10.1109/ECS.2014.6892832
Filename :
6892832
Link To Document :
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