Paper
10 April 2018 Long-term scale adaptive tracking with kernel correlation filters
Yueren Wang, Hong Zhang, Lei Zhang, Yifan Yang, Mingui Sun
Author Affiliations +
Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 1061504 (2018) https://doi.org/10.1117/12.2303390
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
Object tracking in video sequences has broad applications in both military and civilian domains. However, as the length of input video sequence increases, a number of problems arise, such as severe object occlusion, object appearance variation, and object out-of-view (some portion or the entire object leaves the image space). To deal with these problems and identify the object being tracked from cluttered background, we present a robust appearance model using Speeded Up Robust Features (SURF) and advanced integrated features consisting of the Felzenszwalb's Histogram of Oriented Gradients (FHOG) and color attributes. Since re-detection is essential in long-term tracking, we develop an effective object re-detection strategy based on moving area detection. We employ the popular kernel correlation filters in our algorithm design, which facilitates high-speed object tracking. Our evaluation using the CVPR2013 Object Tracking Benchmark (OTB2013) dataset illustrates that the proposed algorithm outperforms reference state-of-the-art trackers in various challenging scenarios.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yueren Wang, Hong Zhang, Lei Zhang, Yifan Yang, and Mingui Sun "Long-term scale adaptive tracking with kernel correlation filters", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061504 (10 April 2018); https://doi.org/10.1117/12.2303390
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KEYWORDS
Detection and tracking algorithms

Image filtering

Video

Electronic filtering

Digital filtering

Optical tracking

Video surveillance

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