DocumentCode :
596643
Title :
Robust visual tracking using a spatio-temporal approach with optical flow
Author :
Chi-Cheng Cheng ; Shih-Hsiang Ting
Author_Institution :
Dept. of Mech. & Electro-Mech. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
fYear :
2012
fDate :
18-20 Oct. 2012
Firstpage :
553
Lastpage :
557
Abstract :
Most visual tracking algorithms need more or less features of moving objects such as shape, color, dimension, and speed, etc. A three-dimensional filter based on network resonance has been developed for detection of moving objects with a specific moving velocity. This spatio-temporal approach is able to accomplish tracking tasks for unknown moving objects with overlapped or crossover path. However, constraints of smooth moving trajectory and back ground removal confine its applications. Therefore, this paper incorporates the optical flow technique into the spatio-temporal scheme to overcome those difficulties. Experiments on synthesized images and natural images are conducted to demonstrate improved tracking performance using the proposed method.
Keywords :
filtering theory; image sequences; object detection; object tracking; background removal confine; crossover path; image synthesis; moving object detection; moving trajectory; moving velocity; natural images; network resonance-based three-dimensional filter; optical flow techniques; overlapped path; robust visual tracking; spatio-temporal approach; tracking performance; Conferences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
Type :
conf
DOI :
10.1109/ICACI.2012.6463225
Filename :
6463225
Link To Document :
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