Title :
Fusion of spatial and visual information for object tracking on iPhone
Author :
Heidari, Alireza ; Alaei-Novin, Inaz ; Aarabi, P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
Abstract :
In this work, a novel object tracking system is proposed which tracks visual objects on Apple iPhone 4 platform in real-time. The system utilizes the color space of the frames provided by iPhone camera, in parallel with the motion data provided by iPhone motion sensors, to cancel the effect of iPhone movements during matching different candidate tracks. The proposed system also adapts to changes in target appearance and size, thus leading to a robust tracking. Several experiments conducted on actual video sequences are used to illustrate the functionality of the proposed approach.
Keywords :
cameras; image fusion; image matching; image motion analysis; mobile handsets; object tracking; video signal processing; Apple iPhone 4 platform; candidate track matching; color space; iPhone camera; iPhone motion sensors; iPhone movement effect; motion data; robust tracking; spatial information fusion; target appearance; target size; video sequences; visual information fusion; visual object tracking system; Calibration; Cameras; Feature extraction; Object tracking; Target tracking; Visualization;
Conference_Titel :
Information Fusion (FUSION), 2013 16th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-605-86311-1-3
