DocumentCode :
3456439
Title :
Robust moving object tracking and trajectory prediction for visual navigation in dynamic environments
Author :
Hsieh, Yi-Sheng ; Su, Yu-Chi ; Chen, Liang-Gee
Author_Institution :
DSP/IC Design Lab., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2012
fDate :
13-16 Jan. 2012
Firstpage :
696
Lastpage :
697
Abstract :
We propose a robust and efficient moving object detection system with trajectory prediction mechanism for mobile visual applications in dynamic environments. The navigation system not only supports intelligent moving object detection and collision avoidance, but also provides automatic trajectory prediction mechanism to create a safe environment for the user. To take into account recognition challenges in practice, the system addresses problems of camera shake and image blurs caused by mobile camera and fast moving objects, respectively. Experimental results show our system supports 97.1% detection rate for fast moving objects and achieves high accuracy of trajectory prediction with error estimation less than 16.5 cm.
Keywords :
cameras; collision avoidance; control engineering computing; image motion analysis; image restoration; mobile robots; object detection; object recognition; robot vision; account recognition; camera shake; collision avoidance; error estimation; fast moving object; image blur; mobile agent; mobile camera; mobile visual application; moving object detection system; moving object tracking; trajectory prediction mechanism; visual navigation; Accuracy; Cameras; Computer vision; Mobile communication; Robustness; Tracking; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4577-0230-3
Type :
conf
DOI :
10.1109/ICCE.2012.6162066
Filename :
6162066
Link To Document :
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