Journal of System Simulation
Abstract
Abstract: In visual target tracking and localization, the target could not be located due to the lack of features or the severe occlusion. Aiming at this, an algorithm based on confidence evaluation of neighboring targets is designed. In the tracking process, by detecting and extracting the marker features of neighboring targets, and combining the Hamming distance of each feature marker and the normalized result with respect to other markers as well as the probability of occurrence of each marker, the final confidence of each marker is obtained. The marker with the maximum confidence is to used determine the target location. Experimental results show that the algorithm can greatly improve the robustness and accuracy of tracking during occlusion or target features missing.
Recommended Citation
Liu, Youquan; Xue, Pei; Wan, Li; and Liu, Zhengxiong
(2020)
"Visual Tracking and Localization Based on Confidence Evaluation of Adjacent Targets,"
Journal of System Simulation: Vol. 32:
Iss.
7, Article 10.
DOI: 10.16182/j.issn1004731x.joss.19-VR0514
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss7/10
First Page
1294
Revised Date
2019-12-16
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.19-VR0514
Last Page
1300
CLC
TP391.4
Recommended Citation
Liu Youquan, Pei Xue, Li Wan, Liu Zhengxiong. Visual Tracking and Localization Based on Confidence Evaluation of Adjacent Targets[J]. Journal of System Simulation, 2020, 32(7): 1294-1300.
DOI
10.16182/j.issn1004731x.joss.19-VR0514
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