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Authors: JunChang Zhang 1 ; ChenYang Xia 2 and JinJin Wan 3

Affiliations: 1 Northwestern Polytechnical University and Key Laboratory of Photoelectric Control Technology, China ; 2 Northwestern Polytechnical University, China ; 3 Key Laboratory of Photoelectric Control Technology, China

ISBN: 978-989-758-357-5

Keyword(s): Correlation filter, Channel reliability, Tracker, Validator, Siamese convolutional neural network

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 t he 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. (More)

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Paper citation in several formats:
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

@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},
}

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

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