Ensemble Tracking Based on Diverse Collaborative Framework With Multi-Cue Dynamic Fusion
Tracking with deep neural networks has been verified to arrive at a new level accuracy in many challenging scenarios, but the tracking robustness has been still challenged by model singularity and self-learning loop mechanism. As a promising solution for the limitations, to ensemble diverse tracking...
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Published in | IEEE transactions on multimedia Vol. 22; no. 10; pp. 2698 - 2710 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Piscataway
IEEE
01.10.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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