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Sensors 2016, 16(9), 1443;

Real-Time Robust Tracking for Motion Blur and Fast Motion via Correlation Filters

1,2,3,* , 1,2
Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
University of Chinese Academy of Science, Beijing 100049, China
Author to whom correspondence should be addressed.
Academic Editors: Felipe Gonzalez Toro and Antonios Tsourdos
Received: 22 June 2016 / Revised: 15 August 2016 / Accepted: 17 August 2016 / Published: 7 September 2016
(This article belongs to the Special Issue UAV-Based Remote Sensing)
Full-Text   |   PDF [2061 KB, uploaded 7 September 2016]   |  


Visual tracking has extensive applications in intelligent monitoring and guidance systems. Among state-of-the-art tracking algorithms, Correlation Filter methods perform favorably in robustness, accuracy and speed. However, it also has shortcomings when dealing with pervasive target scale variation, motion blur and fast motion. In this paper we proposed a new real-time robust scheme based on Kernelized Correlation Filter (KCF) to significantly improve performance on motion blur and fast motion. By fusing KCF and STC trackers, our algorithm also solve the estimation of scale variation in many scenarios. We theoretically analyze the problem for CFs towards motions and utilize the point sharpness function of the target patch to evaluate the motion state of target. Then we set up an efficient scheme to handle the motion and scale variation without much time consuming. Our algorithm preserves the properties of KCF besides the ability to handle special scenarios. In the end extensive experimental results on benchmark of VOT datasets show our algorithm performs advantageously competed with the top-rank trackers. View Full-Text
Keywords: visual tracking; motion blur; fast motion; correlation filter visual tracking; motion blur; fast motion; correlation filter

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Xu, L.; Luo, H.; Hui, B.; Chang, Z. Real-Time Robust Tracking for Motion Blur and Fast Motion via Correlation Filters. Sensors 2016, 16, 1443.

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