Tracking Verification Algorithm Based on Channel Reliability

JunChang Zhang, ChenYang Xia, JinJin Wan

Abstract

For most algorithms, the problem of Tracking target performance degradation in the case of fast moving, illumination changes, target deformation, occlusion, out-of-plane rotation, low-resolution images, etc. This paper proposes a tracking verification algorithm based on channel reliability. The tracker part of the algorithm is tracked by the method of correlation filter based on channel reliability. By calculating the reliability weight of each feature channel of the input correlation filter, and multiplying the weight by the response of the corresponding channel to obtain the final response, so that the target positioning will be more accurate. The validator part uses the Siamese dual input network in the deep learning convolutional neural network. Every few frames, the verifier will verify the results of the tracker part of the algorithm. If the reliability is verified, the tracking result will not be modified. Otherwise, the validator will re-detect the target location and verify the reliability through the Siamese dual-input network. The tracker will regard this location as the new location of our target continues to be tracked, making target tracking more durable and robust. The experimental evaluation of the OTB13 video sequence proves that the proposed algorithm has good adaptability to target fast motion, illumination change, target deformation, occlusion, and out-of-plane rotation, and has good robustness.

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Paper Citation


in Harvard Style

Zhang J., Xia C. and Wan J. (2019). Tracking Verification Algorithm Based on Channel Reliability.In Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC, ISBN 978-989-758-357-5, pages 59-64. DOI: 10.5220/0008095900590064


in Bibtex Style

@conference{ctisc19,
author={JunChang Zhang and ChenYang Xia and JinJin Wan},
title={Tracking Verification Algorithm Based on Channel Reliability},
booktitle={Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC,},
year={2019},
pages={59-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008095900590064},
isbn={978-989-758-357-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC,
TI - Tracking Verification Algorithm Based on Channel Reliability
SN - 978-989-758-357-5
AU - Zhang J.
AU - Xia C.
AU - Wan J.
PY - 2019
SP - 59
EP - 64
DO - 10.5220/0008095900590064