Adaptive Correction Tracking Algorithm Based on Detector and Locator Fusion

Authors

Yecai Guo, School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China;Follow
Cheng Liu, School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China;

Abstract

Abstract: In order to avoid tracking failure caused by occlusion, rotation and other factors in complex dynamic scenes, an adaptive correction tracking algorithm based on detector and locator fusion is proposed. The locator trains a convolutional neural network (CNN) filter for location estimation by extracting the deep features of target. The CNN filter adds two layers of shallow features to the three layers of the convolution features of original CF2 algorithm, which enhances the extraction of target texture information. The detector calculates the confidence score by extracting histogram of oriented gradient(HOG) feature of target and combining the context information. The average peak-to-correlation energy (APCE) and maximum response value of current frame are compared separately with the historical average to comprehensively judge whether the tracking fails are due to occlusion and other factors. If the tracking fails, combine the detector to relocate the target, otherwise estimate the scale of the target. Update the model when the model has high confidence. The experimental results show that the distance accuracy and overlap accuracy of the algorithm are good.

Recommended Citation

Guo, Yecai and Liu, Cheng (2023) "Adaptive Correction Tracking Algorithm Based on Detector and Locator Fusion," Journal of System Simulation: Vol. 35: Iss. 4, Article 3.
DOI: 10.16182/j.issn1004731x.joss.21-1273
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss4/3

First Page

709

Revised Date

2022-03-16

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-1273

Last Page

720

CLC

TP391.41

Recommended Citation

Yecai Guo, Cheng Liu. Adaptive Correction Tracking Algorithm Based on Detector and Locator Fusion[J]. Journal of System Simulation, 2023, 35(4): 709-720.

DOI

10.16182/j.issn1004731x.joss.21-1273