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15 November 2018 Scale adaptive correlation filter tracking based on the autocorrelation matrix
Jiang Zhu, Yunyi Yan
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Proceedings Volume 10964, Tenth International Conference on Information Optics and Photonics; 109640Q (2018) https://doi.org/10.1117/12.2504572
Event: Tenth International Conference on Information Optics and Photonics (CIOP 2018), 2018, Beijing, China
Abstract
Target tracking is an important research in computer vision. It has wide applications in human-computer interaction, machine recognition and artificial intelligence. But most existing tracking methods can not calculate the target scale well, resulting in low tracking accuracy. Some scale adaptive algorithms calculate scale by multiple attempts, which greatly improves the computational complexity. For this problem, this paper proposed a new scale adaptive correlation filter tracking algorithm based on the autocorrelation matrix. The method is based on the circulant structure of tracking-bydetection with kernels(CSK). Firstly, the sample of each frame is constructed as a cyclic matrix, and the kernel recursive least square (KRLS) method is used to learn the classifier. FFT accelerates the convolution process and makes the tracking speed faster. Finally, calculate the autocorrelation matrix using the standard image of each frame during correlation filtering. And get the target scale through the mapping of features between autocorrelation matrix. The experimental results showed that our method can update target scale during real-time tracking and improve the tracking accuracy effectively. Comparing to other algorithms, our algorithm can quickly adapt target scale during tracking and perform better in accuracy and speed.
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Jiang Zhu and Yunyi Yan "Scale adaptive correlation filter tracking based on the autocorrelation matrix", Proc. SPIE 10964, Tenth International Conference on Information Optics and Photonics, 109640Q (15 November 2018); https://doi.org/10.1117/12.2504572
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KEYWORDS
Detection and tracking algorithms
Image filtering
Convolution
Digital filtering
Electronic filtering
Video
Target detection
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