尺度自适应的抗遮挡目标跟踪算法

Fu Xiang Liu; He Qi; Rui Jing Ji; Xiao Jun Shi

doi:10.15918/j.tbit1001-0645.2018.04.008

尺度自适应的抗遮挡目标跟踪算法

Translated title of the contribution: Scale Adaptive and Anti-Occlusion Arithmetic for Moving Object Tracking

Fu Xiang Liu
, He Qi
, Rui Jing Ji
, Xiao Jun Shi

School of Aerospace Engineering

Beijing Aerospace Automatic Control Institute
Beijing Institute of Technology
Jinxi Industries Group Co. LTD.

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

In order to solve the problems during the target tracking process such as scale change, occlusion and tracking drift, an integrated tracking and detection algorithm was proposed, to which was added the scale change update mechanism based on the minimum mean square error (MOSSE) of the output, and the latest position and the optimal size of the target was calculated through the relevant calculation. The analysis of the tracking experiments of 51 test video sets on Benchmark demonstrates that the proposed algorithm performs better than traditional algorithm in terms of scale variation and occlusion resistance.

Translated title of the contribution	Scale Adaptive and Anti-Occlusion Arithmetic for Moving Object Tracking
Original language	Chinese (Traditional)
Pages (from-to)	376-380
Number of pages	5
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	38
Issue number	4
DOIs	https://doi.org/10.15918/j.tbit1001-0645.2018.04.008
Publication status	Published - 1 Apr 2018

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abstract = "In order to solve the problems during the target tracking process such as scale change, occlusion and tracking drift, an integrated tracking and detection algorithm was proposed, to which was added the scale change update mechanism based on the minimum mean square error (MOSSE) of the output, and the latest position and the optimal size of the target was calculated through the relevant calculation. The analysis of the tracking experiments of 51 test video sets on Benchmark demonstrates that the proposed algorithm performs better than traditional algorithm in terms of scale variation and occlusion resistance.",

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AU - Liu, Fu Xiang

AU - Qi, He

AU - Ji, Rui Jing

AU - Shi, Xiao Jun

PY - 2018/4/1

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N2 - In order to solve the problems during the target tracking process such as scale change, occlusion and tracking drift, an integrated tracking and detection algorithm was proposed, to which was added the scale change update mechanism based on the minimum mean square error (MOSSE) of the output, and the latest position and the optimal size of the target was calculated through the relevant calculation. The analysis of the tracking experiments of 51 test video sets on Benchmark demonstrates that the proposed algorithm performs better than traditional algorithm in terms of scale variation and occlusion resistance.

AB - In order to solve the problems during the target tracking process such as scale change, occlusion and tracking drift, an integrated tracking and detection algorithm was proposed, to which was added the scale change update mechanism based on the minimum mean square error (MOSSE) of the output, and the latest position and the optimal size of the target was calculated through the relevant calculation. The analysis of the tracking experiments of 51 test video sets on Benchmark demonstrates that the proposed algorithm performs better than traditional algorithm in terms of scale variation and occlusion resistance.

KW - Long-term tracking

KW - Model drift suppression

KW - Resist occlusion

KW - Scale variation

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JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 4

ER -

尺度自适应的抗遮挡目标跟踪算法

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