2020
DOI: 10.3390/s20174810
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Proposal-Based Visual Tracking Using Spatial Cascaded Transformed Region Proposal Network

Abstract: Region proposal network (RPN) based trackers employ the classification and regression block to generate the proposals, the proposal that contains the highest similarity score is formulated to be the groundtruth candidate of next frame. However, region proposal network based trackers cannot make the best of the features from different convolutional layers, and the original loss function cannot alleviate the data imbalance issue of the training procedure. We propose the Spatial Cascaded Transformed RPN to combin… Show more

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Cited by 2 publications
(1 citation statement)
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“…SiamRPN [9] algorithm uses Region-Proposal-Network (RPN) network instead of cross-correlation operation to calculate the target location, and obtains better performance. Subsequently, SiamRPN++ [10], SiamDW [11] and other algorithms [12][13][14] use the deeper network structure for target feature extraction, which further improves the performance of Siamese object tracking algorithm. However, these methods focus on such aspects as target location and feature extraction.…”
Section: Object Trackingmentioning
confidence: 99%
“…SiamRPN [9] algorithm uses Region-Proposal-Network (RPN) network instead of cross-correlation operation to calculate the target location, and obtains better performance. Subsequently, SiamRPN++ [10], SiamDW [11] and other algorithms [12][13][14] use the deeper network structure for target feature extraction, which further improves the performance of Siamese object tracking algorithm. However, these methods focus on such aspects as target location and feature extraction.…”
Section: Object Trackingmentioning
confidence: 99%