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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2872735
Abstract: A tracking-by-segmentation algorithm, which tracks and segments a target object in a video sequence, is proposed in this paper. In the first frame, we segment out the target object in a user-annotated bounding box. Then,…
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Keywords:
superpixel wise;
tracking segmentation;
segmentation;
target object ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3171565
Abstract: In this paper, we propose a highly feasible fully online multi-object tracking and segmentation (MOTS) method that uses instance segmentation results as an input. The proposed method is based on the Gaussian mixture probability hypothesis…
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Keywords:
fusion;
affinity;
tracking segmentation;
segmentation ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3203607
Abstract: Multi-object tracking and segmentation (MOTS) is a derivative task of multi-object tracking (MOT). The new setting encourages the learning of more discriminative high-quality embeddings. In this paper, we focus on the problem of exploring the…
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Keywords:
object tracking;
tracking segmentation;
tracker;
multi object ... See more keywords
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Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3172932
Abstract: In this article, we introduce SiamMask, a framework to perform both visual object tracking and video object segmentation, in real-time, with the same simple method. We improve the offline training procedure of popular fully-convolutional Siamese…
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Keywords:
object tracking;
segmentation;
siammask framework;
tracking segmentation ... See more keywords