FMT: fusing multi-task convolutional neural network for person search
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DOI: 10.1007/s11042-019-07939-w
Abstract: Person search is to detect all persons and identify the query persons from detected persons in the image without proposals and bounding boxes, which is different from person re-identification. In this paper, we propose a… read more here.
Keywords: network; convolutional neural; person; person search ... See more keywords
Graph similarity rectification for person search
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DOI: 10.1016/j.neucom.2021.08.136
Abstract: Abstract In person search task, it is hard to retrieve the query persons undergoing large visual changes. To tackle this problem, we propose to exploit the context information to rectify the original individual similarity for… read more here.
Keywords: similarity; person; person search; graph similarity ... See more keywords
Transformer-Based Language-Person Search With Multiple Region Slicing
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DOI: 10.1109/tcsvt.2021.3073718
Abstract: Language-person search is an essential technique for applications like criminal searching, where it is more feasible for a witness to provide language descriptions of a suspect than providing a photo. Most existing works treat the… read more here.
Keywords: based language; language; person; transformer based ... See more keywords
Improved Instance Discrimination and Feature Compactness for End-to-End Person Search
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DOI: 10.1109/tcsvt.2021.3082775
Abstract: Person search aims to locate and retrieve specific pedestrians in scene images, including two subtasks, pedestrian detection and person re-identification. Recently, triplet loss has been widely used in person re-identification, which effectively improves the pedestrian… read more here.
Keywords: end end; feature; end person; person ... See more keywords
Joint Sample Enhancement and Instance-Sensitive Feature Learning for Efficient Person Search
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DOI: 10.1109/tcsvt.2022.3188551
Abstract: Person search, consisting of jointly or separately trained person detection stage and person Re-ID stage, suffers from significant challenges such as inefficiency and difficulty in acquiring discriminative features. However, certain work has either turned to… read more here.
Keywords: person; instance sensitive; person search; sample ... See more keywords
A Multirobot Person Search System for Finding Multiple Dynamic Users in Human-Centered Environments
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DOI: 10.1109/tcyb.2022.3166481
Abstract: Multirobot coordination for finding multiple users in an environment can be used in numerous robotic applications, including search and rescue, surveillance/monitoring, and activities of daily living assistance. Existing approaches have limited coordination between robots when… read more here.
Keywords: problem; multirobot person; stage; person search ... See more keywords
Learning Weak Semantics by Feature Graph for Attribute-Based Person Search
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DOI: 10.1109/tip.2023.3270741
Abstract: Attribute-based person search aims to find the target person from the gallery images based on the given query text. It often plays an important role in surveillance systems when visual information is not reliable, such… read more here.
Keywords: semantics; attribute; attribute based; person search ... See more keywords
Person Search by a Bi-Directional Task-Consistent Learning Model
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3140025
Abstract: Two-stage person search methods achieve the state-of-the-art performance by separate detection and re-ID stages, but neglect the consistency needs between these two stages. The re-ID stage needs more accurate query bounding boxes and fewer boxes… read more here.
Keywords: person; detection; person search; model ... See more keywords
Multi-Attention-Guided Cascading Network for End-to-End Person Search
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DOI: 10.3390/app13095576
Abstract: The key procedure is to accurately identify pedestrians in complex scenes and effectively embed features from multiple vision cues. However, it is still a limitation to coordinate two tasks in the unified framework, thus leading… read more here.
Keywords: network; multi attention; person search; search ... See more keywords